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Browse 250+ Remote Data Science Jobs in August 2020 at companies like Sporty , Loadsmart and Noom with salaries ranging from $64,000/year to $70,000/year working as a Senior Data Science Engineer, Data Scientist or Business Intelligence - Data Analyst . Last post

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Browse 250+ Remote Data Science Jobs in August 2020 at companies like Sporty , Loadsmart and Noom with salaries ranging from $64,000/year to $70,000/year working as a Senior Data Science Engineer, Data Scientist or Business Intelligence - Data Analyst . Last post

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Sporty


Business Intelligence - Data Analyst

verified
🌏 Worldwide

Business Intelligence - Data Analyst


Sporty

🌏 Worldwide

mysql

oracle

sql

metabase

mysql

oracle

sql

metabase


👁 1,352 viewed | ✍️ 3 applied (0%)
### Company Overview\n\nSporty is a mobile internet company with a focus on emerging markets. Our integrated sports media, betting, gaming and social platform serves a huge userbase across numerous countries. We have a talented and proven team of 200+ people comprised of 50+ tech staff and 150+ product, operations and support, and are looking to expand our tech team count to 100+ people as we look to drive further geographical expansion, whilst iterating on our offering with a user-driven development approach.\n\n\n\n### Tech Stack\n\n* Oracle\n\n* mySQL\n\n* AWS/RDS\n\n* Python\n\n* Metabase\n\n\n\n### Benefits\n\n* Competitive salary \n\n* Quarterly bonuses \n\n* Flash bonuses \n\n* Top-of-the-line equipment \n\n* Pick your own working hours \n\n* 20-days paid leave \n\n* Referral program \n\n* Education allowance (conferences, books, training courses, Udemy, Coursera, etc.) \n\n* Annual company trips (eg next year Koh Samui, Thailand) \n\n* Small enough to allow you to have a big impact \n\n* Large enough to provide structure and clarity \n\n* Highly-talented, dependable co-workers \n\n* Global, multi-cultural organization\n\n# Responsibilities\n * Delivering clear analysis and reporting of core business metrics to shareholders\n\n* Creation and management of reports and dashboards\n\n* Monitoring the performance of key business products\n\n* Providing actionable insight to drive growth of core products\n\n* Extraction and analysis of large data sets from MySQL/Oracle DBs\n\n* Ad hoc analysis and reporting to clients and shareholders \n\n# Requirements\n* Proactive and self-driven with excellent analytical skills\n\n* Previous experience in a data-driven role\n\n* Excellent working knowledge of SQL\n\n* Familiarity with other data and BI tools a plus\n\n* Good communication skills \n\n#Salary\nDepends on Experience\n\n\n#Location\n- 🌏 Worldwide

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# How do you apply?\n\n 1. Submit your CV and a brief cover letter by clicking the "Apply for this job" button below and our team will review your CV\n\n2. If you are shortlisted, our team will arrange an interview time with you\n\n3. We will invite you to a ~2 hours remote interview. You'll speak to 2 or 3 of our team members and 1 HR team member\n\n4. We will get back to you with a offer / no offer decision within 1 business day
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Previously

Loadsmart


Senior Data Science Engineer

Senior Data Science Engineer


Loadsmart


data science

senior

engineer

data science

senior

engineer


👁 769 viewed | ✍️ 38 applied (5%)
\nWho we are:\n\nLoadsmart aims to move more with less. We combine great people and innovative technology to more efficiently move freight throughout North America. Our focus is on designing and building the best tools for our team and our customers, using machine learning algorithms to connect cargo with trucks. By better matching supply and demand, we reduce wasted fuel and lost time, cutting out empty miles for motor carriers and providing instant booking for shippers.  \n\nWho you are:\n\nYou believe in game-changing innovations and are excited about reimaging a 700 billion dollar industry.  You know how to take ideas, optimize them, and push it into production code using Python.\n\nThe role:\n\nWe are looking for a Sr. Data Science Engineer to work remotely in Brazil with experience in Software Development to join us in the Sourcing Automation group in order to analyse, design and implement machine learning algorithms for systems that provide recommendations to source carriers, and that optimize margins of carrier prices.\n\nKey Responsibilities:\n\n\n* Model predictive techniques to a variety of logistic problems\n\n* Develop new (and improve existing) machine learning algorithms\n\n* Implement, release, and then maintain the algorithms running in production\n\n* Analyse metrics and look for sourcing improvement opportunities\n\n\n\n\nQualifications:\n\n\n* Experience in modeling and implementing predictive algorithms (either from scratch or by having used libraries / frameworks) \n\n* Software development skills in Python, databases (such as PostgreSQL, Redis) and REST APIs (other programming languages, a plus)\n\n* Software Design / Object-Oriented Programming / SOLID Principles\n\n* Experience implementing automated tests - unit and integration tests(test-driven development, a plus)\n\n* 2+ years of experience as a data scientist/machine learning engineer \n\n* 3+ years of experience as a software developer\n\n* 5+ years of experience total\n\n* You’re very comfortable communicating in English (both written and spoken) - you will work in an international team with native and non native english speakers\n\n* Native proficiency in Portuguese language\n\n* Curiosity. You're keen on learning new technologies and tools as well as evaluating their pros and cons. You ask questions and are hungry to learn more\n\n* MS or PhD in a technical discipline would be cool, but it is not mandatory.\n\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Previously

Noom


Data Scientist Product Analytics

Data Scientist Product Analytics


Noom


product manager

data science

stats

non tech

product manager

data science

stats

non tech


👁 3,467 viewed | ✍️ 344 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\n\n\n

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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

komoot


Senior Backend Developer Data Science

Senior Backend Developer Data Science


komoot


dev

data science

senior

backend

dev

data science

senior

backend


👁 82 viewed | ✍️ 5 applied (6%)
This job post is archived and the position is probably filled. Please do not apply.
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times – and, with more than 12 million users and 100,000 five-star reviews – komoot is on its way to become one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore! To help us continue to grow, we ‘re looking for an experienced backend developer with knowledge in data science. Komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. To get the biggest value from this raw data, we need your excellent software and analytical skills. The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\n\n\n\n\n\nYour key responsibilities\n\n\n\n* You’ll be challenged with a wide range of tasks for which there are no standard solutions\n\n* You’ll have full ownership: from concept, prototypes, and building, to deploying and monitoring\n\n* You’ll deal with diverse datasets (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...)\n\n* You’ll contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house, a coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\n\n\n\nWhy you will love it\n\n\n\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n\n* Turn prototypes into resilient and scalable REST APIs and background workers\n\n* Deploy and monitor your code in our AWS Cloud\n\n\n\n\n\n\n\nYou will be successful in this position if you\n\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of professional experience in backend development in the cloud\n\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n\n* Have 2+ years of professional experience in Python\n\n* Know SQL and NoSQL\n\n* Have a solid understanding of math and statistics\n\n* Have a solid understanding of data science fundamentals\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n\n* Bonus: Infrastructure as Code\n\n* Bonus: Deployment, CI and monitoring\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\n\nSounds like you?\n\n\nSend us the following\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n

See more jobs at komoot

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Blue Orange Digital

 

Data Scientist

Data Scientist  


Blue Orange Digital


data science

data science


👁 1,469 viewed | ✍️ 402 applied (27%)
This job post is archived and the position is probably filled. Please do not apply.
\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\n\n\n

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# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

komoot


Senior Data Scientist

Senior Data Scientist


komoot


data science

senior

data science

senior


👁 92 viewed | ✍️ 8 applied (9%)
This job post is archived and the position is probably filled. Please do not apply.
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n

See more jobs at komoot

# How do you apply?\n\n This job post is older than 30 days and the position is probably filled. Try applying to jobs posted recently instead.
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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Virtual Pricing Director


Back End Engineer Node.js Python Go Rust Workflow Management Data Science

Back End Engineer Node.js Python Go Rust Workflow Management Data Science


Virtual Pricing Director


backend

python

javascript

node js

backend

python

javascript

node js


👁 560 viewed | ✍️ 34 applied (6%)
This job post is archived and the position is probably filled. Please do not apply.
\nVirtual Pricing Director is hiring a Back End Engineer - working in Node.js and other languages - to architect and implement its new Legal Tech back end and data platform.\n\nOur software empowers a wide audience within law firms to swiftly produce consistently high quality data-driven pricing proposals that profitably deliver on clients' expectations of pricing transparency and pricing certainty. We achieve this with a best in class data management and workflow platform, and a compelling focus on UI/UX.\n\nWe have a proven MVP, the best-recognised brand and strong demand. Now embarking on our third product release, you will design and build out an entirely new data structure and back end. You will be establishing data pipelines, representing data for BI and reporting, and building comprehensive back end capabilities. Your work will go on to manifest new workflow management capabilities, and to bring structure to unstructured data.\n\nThe domain entails data-intensive services where security, data integrity and uptime are key. This presents lots of interesting challenges as we build and integrate our technology. We offer considerable freedom in technology choice and approach. There are big plans and lots to accomplish.\n\nUpcoming projects\n\n\n* Exploring, innovating and creating IP\n\n* Designing and implementing new data structures and logic\n\n* New back end for modular BI and reporting products\n\n* New API and data integration pipelines\n\n* Designing operational AWS infrastructure\n\n* Automating quality, CI/CD, and shaping a DevOps culture\n\n* Supporting dialogue with customers\n\n* Exploring GraphQL\n\n* Upholding ISO27001\n\n* Preparing for explorations in machine learning\n\n\n\n\nWe're looking for\n\n\n* Someone ready to shape the back end and data solution\n\n* Strong grounding in Computer Science, Data Science or Mathematics, through formal study - or equivalent knowledge\n\n* Deep, technical, software design and coding skills - accrued in a modern web back end context\n\n* Technology agnostic and adept with Node.js and strong SQL\n\n* Ability to build modern microservice-based systems that scale\n\n* Ability to unpack complex requirements, to uphold security of sensitive data and to conform to best practices\n\n* A collaborative, adaptable, user-centered approach\n\n* You may also bring - or like to gain - interests around knowledge management, data science, NLP or machine learning\n\n* Someone considering remote, Senior or Lead level, back end jobs such as: Back End Engineer | Back End Developer | Microservices Developer | Lead Software Engineer | Node.js Developer | Node.js Engineer etc.\n\n\n\n\nAnticipated ecosystem - we'll welcome your influence\n\nNode.js | optionally some Python, Go, Rust or similar | PostgreSQL | GraphQL | AWS | ML | TDD | Agile\n\nSalary and benefits\n\n\n* £60,000 - £90,000+ we're keeping an open mind\n\n* Share scheme for founding team members (once proven value to the business)\n\n* 25 days holiday, plus public holidays and a day for your birthday\n\n* Family-friendly and flexible culture - tell us what you need\n\n* Personal development plan that you can shape, with budget for related training/certifications\n\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


👁 2,618 viewed | ✍️ 235 applied (9%)
This job post is archived and the position is probably filled. Please do not apply.
InReach is changing how VC in Europe works, for good. Through data, software and Machine Learning, we are building an in-house platform to help us find, reach-out to and invest in early-stage European startups, regardless of the city or country they’re based in.\n\n\n\nWe are looking for a machine learning engineer to lead in the continued development of InReach’s machine learning capabilities. This involves cleaning / wrangling / merging / processing the data on companies and founders from across Europe, building algorithms to find new opportunities, and the pipelines for continuous improvement.\n\n\n\nIt is important to us that candidates be passionate about helping entrepreneurs and startups. This is our bread-and-butter and we want you to be involved.\n\n\n\nThis is a remote-first role, whether you're in the office in London or working remotely, so we are looking for someone with excellent written and spoken communication skills. InReach is a remote-first employer and we are looking to this hire to help us become an exceptional place to work for remote employees.\n\n\n\n**Background Reading**\n\n* [ InReach Ventures, the 'AI-powered' European VC, closes new €53M fund](https://techcrunch.com/2019/02/11/inreach-ventures-the-ai-powered-european-vc-closes-new-e53m-fund/?guccounter=1)\n\n* [The Full-Stack Venture Capital](https://medium.com/entrepreneurship-at-work/the-full-stack-venture-capital-8a5cffe4d71)\n\n* [Roberto Bonanzinga starts InReach Ventures with DIG platform](https://www.businessinsider.com/roberto-bonanzinga-starts-inreach-ventures-with-dig-platform-2015-11?r=US&IR=T)\n\n* [Exceptional Communication; our guidelines for remote working](https://www.craft.do/s/Isrjt4KaHMPQ)\n\n\n\n**Interview Process**\n\n* 15m video chat with Ben, CTO to find out more about InReach and the role\n\n* 2h data pipeline technical test working alongside Ben\n\n* 2h data science technical test working alongside Ghyslain, Product Manager\n\n* 30m architectural discussion with Ben, talking through the work you did on the pipeline\n\n* 30m data science discussion with Ghyslain, talking through the data science work\n\n* 2h interview with the different team members from across InReach. We’re a small company so it’s important we see how we’ll all work together - not just the tech team!\n\n# Responsibilities\n * Creatively and quickly coming up with effective solutions to undefined problems\n\n* Choosing technology that is modern but not hype-driven\n\n* Developing features and tests quickly with good, clean code\n\n* Researching and experimenting on algorithms in a structured fashion, using engineering discipline\n\n* Being part of the wider development team, reviewing code and participating in architecture from across the stack\n\n* Communicating exceptionally, both asynchronously (written) and synchronously (spoken)\n\n* Helping to shape InReach as a remote-first organization \n\n# Requirements\n**Skills**\n\n* Excellent spoken and written English\n\n* Experience working for a remote organization or be able to compellingly describe why you'll be great at it!\n\n* Great time management and communication\n\n\n\n**Technologies**\n\n* Python3\n\n* Jupyter Notebooks\n\n* Pipenv\n\n* Python Unittest\n\n* Postgres\n\n* Pandas\n\n\n\nNone of these are a prerequisite, but help:\n\n* SQS\n\n* Dynamodb\n\n* Scikit Learn\n\n* Pandas\n\n* AWS Lambda\n\n* Docker\n\n* Numpy\n\n* PyTorch \n\n#Salary\n$70,000\n\n\n#Location\n- UK or Italy

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Wikimedia Foundation


VP Data Science Engineering

VP Data Science Engineering


Wikimedia Foundation


data science

engineer

data science

engineer


👁 65 viewed | ✍️ 2 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
\nThe Wikimedia Foundation is seeking an experienced executive to serve as VP, Data Science & Engineering for our Technology department. At the Wikimedia Foundation, we operate the world’s largest collaborative project: a top ten website, reaching a billion people globally every month, while incorporating the values of privacy, transparency and community that are so important to our users. \n\nReporting to the Chief Technology Officer, the VP, Data Science & Engineering is a key member of the Foundation’s leadership team and an active participant in the strategic decision making framing the work of the technology department, the Wikimedia Foundation and the Wikimedia movement.\n\nThis role is responsible for planning and executing an integrated multi-year data science and engineering strategy spanning our work in artificial intelligence, machine learning, search, natural language processing and analytics. This strategy will interlock with and support the larger organization and movement strategy in service of our vision of enabling every human being to share freely in the sum of human knowledge.\n\nWorking closely with other Technology and Product teams, as well as our community of contributors and readers, you’ll lead a team of dedicated directors, engineering managers, software engineers, data engineers, and data scientists who are shaping the next generation of data usage, analysis and access across all Wikimedia projects.\n\nSome examples of our teams work in the realm of data science and data engineering can be found on our blog, including deeper info on our work in improving edit workflows with machine learning, our use of Kafka and Hadoop or our analysis of analysis of people falling into the “Wikipedia rabbit hole”. As of late we have been thinking on how to best identify traffic anomalies that might indicate outages or, possibly, censorship.  \n\nYou are responsible for:\n\n\n* Leading the technical and engineering efforts of a global team of engineers, data scientists and managers focused on our efforts in productionizing artificial intelligence, data science, analytics, machine learning and natural language processing models as well as data operations. These efforts currently encompass three teams: Search Platform, Analytics and Scoring Platform (Machine Learning Engineering)\n\n* Working closely with our Research, Architecture, Security, Site Reliability and Platform teams to define our next generation of data architecture, search, machine learning and analytics infrastructure\n\n* Creating scalable engineering management processes and prioritization rubrics\n\n* Developing the strategy, plan, vision, and the cross-functional teams to create a holistic data strategy for Wikimedia Foundation taking into account our fundamental values of transparency, privacy, and collaboration and in collaboration with internal and external stakeholders and community members.\n\n* Ensure data is available, reliable, consistent, accessible, secure, and available in a timely manner for external and internal stakeholders and in accordance with our privacy policy.\n\n* Negotiating shared goals, roadmaps and dependencies with finance, product, legal and communication departments\n\n* Contributing to our culture by managing, coaching and developing our engineering and data teams\n\n* Illustrating your success in making your mark on the world by collaboratively measuring and adapting our data strategy within the technology department and the broader Foundation\n\n* Managing up to 5 direct reports with a total team size of 20\n\n\n\n\nSkills and Experience:\n\n\n* Deep experience in leading data science, machine learning, search or data engineering teams that is able to separate the hype in the artificial intelligence space from the reality of delivering production ready data systems\n\n* 5+ years senior engineering leadership experience\n\n* Demonstrated ability to balance competing interests in a complex technical and social environment\n\n* Proven success at all stages of the engineering process and product lifecycle, leading to significant, measurable impact.\n\n* Previous hands-on experience in production big data and machine learning environments at scale\n\n* Experience building and supporting diverse, international and distributed teams\n\n* Outstanding oral and written English language communications\n\n\n\n\nQualities that are important to us:\n\n\n* You take a solutions-focused approach to challenging data and technical problems\n\n* A passion for people development, team culture and the management of ideas\n\n* You have a desire to show the world how data can be done while honoring the user’s right to privacy\n\n\n\n\nAdditionally, we’d love it if you have:\n\n\n* Experience with modern machine learning, search and natural language processing platforms\n\n* A track record of open source participation\n\n* Fluency or familiarity with languages in addition to English\n\n* Spent time having lived or worked outside your country of origin\n\n* Experience as a member of a volunteer community\n\n\n\n\nThe Wikimedia Foundation is... \n\n...the nonprofit organization that hosts and operates Wikipedia and the other Wikimedia free knowledge projects. Our vision is a world in which every single human can freely share in the sum of all knowledge. We believe that everyone has the potential to contribute something to our shared knowledge, and that everyone should be able to access that knowledge, free of interference. We host the Wikimedia projects, build software experiences for reading, contributing, and sharing Wikimedia content, support the volunteer communities and partners who make Wikimedia possible, and advocate for policies that enable Wikimedia and free knowledge to thrive. The Wikimedia Foundation is a charitable, not-for-profit organization that relies on donations. We receive financial support from millions of individuals around the world, with an average donation of about $15. We also receive donations through institutional grants and gifts. The Wikimedia Foundation is a United States 501(c)(3) tax-exempt organization with offices in San Francisco, California, USA.\n\nThe Wikimedia Foundation is an equal opportunity employer, and we encourage people with a diverse range of backgrounds to apply.\n\nU.S. Benefits & Perks*\n\n\n* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!)\n\n* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more\n\n* The 401(k) retirement plan offers matched contributions at 4% of annual salary\n\n* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.\n\n* Family friendly! 100% paid new parent leave for seven weeks plus an additional five weeks for pregnancy, flexible options to phase back in after leave, fully equipped lactation room.\n\n* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program\n\n* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses\n\n* Telecommuting and flexible work schedules available\n\n* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax\n\n* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people\n\n\n\n\n*Eligible non-US benefits are specific to location and dependent on employer of record

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SemanticBits

 

Data Scientist

verified

Data Scientist  


SemanticBits


data science

data science


👁 6,796 viewed | ✍️ 2,525 applied (37%)
This job post is archived and the position is probably filled. Please do not apply.
\nSemanticBits is looking for a Data Scientist eager to use advanced analytical and data transformation techniques as a means to develop practical tools and analyses that can help solve complex business problems; transforming volumes of data into actionable information. This position is open to a mid-level to principal professional depending on experience.\n\n\nResponsibilities:\n\n\n* Strong grasp of statistics, programming, and modeling techniques (machine learning, classification, cluster analysis, data mining, databases, and visualization)\n\n* Solid experience with Python and/or R and common data science packages - e.g. pandas, scikit-learn, matplotlib, ggplot, plyr, etc.\n\n* Dataset parsing, dataset merging, dataset analysis, dataset synthesis\n\n* Familiarity with controlled vocabularies (e.g. UMLS, SNOMED, etc.)\n\n* Strong knowledge of databases (relational, OLAP, and NoSQL)\n\n* Experience with Medicare claims is highly desirable\n\n* Experience with the following technologies is also highly desirable: Jupyter, Apache Superset, Spark, Hadoop, Tableau, Looker, Dremio, AWS cloud computing\n\n* Experience in the healthcare domain, or with quality data sets is highly desirable\n\n* Strong technical communication skills; both written and verbalAbility to understand and articulate the “big picture” and simplify complex ideas\n\n* Strong problem solving and structuring skills\n\n* Ability to identify and learn applicable new techniques independently as needed\n\n\n\n\nRequirements:\n\n\n* Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or a related field and a minimum of four years of relevant experience or a Master’s degree with a minimum of two years experience\n\n* Candidate must reside in the United States\n\n* Flexible and willing to accept a change in priorities as necessary\n\n\n\n\nNice to have:\n\n\n* Experience working in the healthcare industry\n\n* Federal Government contracting work experience\n\n* Prior experience working remotely full-time\n\n\n\n\nPhysical and emotional requirements for the job:\n\n\n* This position is to be performed remotely from an individual’s home office and involves sedentary work. Employees in this role can be expected to exert up to 10 pounds of force on occasion in order to lift, carry, push, pull or otherwise move standard electronic equipment. Employees are expected to make decisions in a timely manner and display emotional intelligence during occasional stressful situations. \n\n\n\n\n\nBenefits\nCompetitive base salary\nThree weeks of PTO\nTen paid holiday days\nComprehensive health benefits (medical with HSA option, dental, and vision)\n401k retirement plan with matching benefit\n100% paid short-term and long-term disability\n100% paid life insurance\nFlexible Spending Accounts (FSA)\nCasual working environment\nFlexible working hours\n\nSemanticBits, LLC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law. We are also a veteran-friendly employer.\n\nIf you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 703-787-9656 x257 or [email protected] for assistance.

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Waystar

 

Data Scientist

Data Scientist  


Waystar


golang

data science

golang

data science


👁 3,556 viewed | ✍️ 720 applied (20%)
This job post is archived and the position is probably filled. Please do not apply.
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge.

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Ledger Investing

 

Data Scientist Statistician

Data Scientist Statistician  


Ledger Investing


data science

data science


👁 2,896 viewed | ✍️ 503 applied (17%)
This job post is archived and the position is probably filled. Please do not apply.
\nAbout the Position:\n\nData scientists at Ledger are critical to the success of the company. Their primary role is to develop impartial estimates of risk/return profiles for insurance-linked securities, which can include the following challenges:\n\n\n* Blending portfolio-specific and industry-wide data to optimize the bias-variance tradeoff.\n\n* Empirically estimating underwriting team skill based on historical performance.\n\n* Building stochastic estimates of asset cash flows based on loss ratio forecasts and loss development patterns.\n\n* Dynamically updating asset valuations in real-time based on current policy and claims data.\n\n* Forecasting the ultimate disposition of insurance claims that are still open.\n\n* Accounting for material shifts in the composition of a portfolio over time.\n\n\n\n\nIf these problems sound fun and interesting, we'd love to have you on our team. We offer competitive compensation, including company stock options. Our headquarters are in Washington, DC, but this position can be full-time remote.\n\nAbout You:\n\nSuccessful candidates will have all of the following attributes:\n\n\n* Extensive knowledge of statistics, machine learning, and data science; MS or PhD in statistics or a related field preferred.\n\n* Familiarity with hierarchical modeling, time-series/state-space methods, and/or distribution fitting.\n\n* Demonstrated track record of applying and adapting statistical methods to solve complex real-world problems.\n\n* Extensive experience with R, Python, Julia or other open-source languages with strong numerical computing ecosystems. Ability to produce analyses that are reproducible and easy to understand/modify.\n\n* Ability to integrate data sources from a wide variety of sources (CSV, XLSX, databases, flat files, JSON, etc) and perform checks for integrity, consistency, and accuracy against known sources of truth.\n\n* Ability to work independently and communicate ideas effectively.\n\n\n\n\nThe following attributes will help candidates stand out from the crowd:\n\n\n* Working knowledge of property & casualty insurance, particularly from an actuarial and/or underwriting perspective.\n\n* Familiarity with Bayesian modeling via Stan.\n\n* Familiarity with version control, especially Git/GitHub.\n\n\n

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PriceSenz

 

Data Scientist

Data Scientist  


PriceSenz


data science

data science


👁 3,912 viewed | ✍️ 710 applied (18%)
This job post is archived and the position is probably filled. Please do not apply.
\n\n-4 to 6 years of industry experience in predictive modelling, recommender systems and data analysis - Solid understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, GBM, NNs, etc\n- Experience using Python and Client libraries, such as scikit-learn, pandas, numpy, scipy\n- Experience handling terabyte size structured and unstructured datasets using distributed frameworks such as Spark, Hive\n- Familiarity with using data visualization tools\n- Experience working with GPUs to develop deep learning models\n- Ability to develop experimental and analytic plans for data modelling processes, use of strong baselines, ability to accurately determine cause and effect relations\n\nSubmit your profile and preferences here: https://podio.com/webforms/24370680/1776812\n\n

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Strong Analytics


Data Scientist

Data Scientist


Strong Analytics


data science

data science


👁 414 viewed | ✍️ 5 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nStrong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.\n\nAt Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.\n\nWe offer a comprehensive compensation package, including:\n\n\n* Competitive salary\n\n* Profit sharing or equity, based on experience\n\n* Health insurance\n\n* Four weeks paid vacation\n\n* Work-from-Home Wednesdays\n\n\n\n\nRequirements\n\nCandidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):\n\n\n* Statistical modeling and hypothesis testing\n\n* Applying machine learning to real-world problems\n\n* Writing clean SQL and ETL pipelines\n\n* Building Python applications\n\n* Building deep neural networks with modern tools, such as PyTorch or Tensorflow\n\n* Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)\n\n* Deploying applications into cloud-based infrastructures (e.g., AWS)\n\n* Creating and interacting with RESTful APIs\n\n* Managing *nix servers\n\n* Writing unit tests\n\n* Collaborating via Git\n\n\n\n\nApplicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.\n\nApplicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

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Noom

 

Sr Data Scientist

Sr Data Scientist  


Noom


data science

data science


👁 2,642 viewed | ✍️ 576 applied (22%)
This job post is archived and the position is probably filled. Please do not apply.
\nAt Noom, we use scientifically proven methods to help our users create healthier lifestyles, and manage important conditions like Type-II Diabetes, Obesity, and Hypertension. Our Engineering team is at the forefront of this challenge, solving complex technical and UX problems on our mobile apps that center around habits, behavior, and lifestyle.\n\nWe are looking for a Data Scientist to join our Data team and help us ensure that we apply the best approaches to data analysis and research, artificial intelligence, and machine learning.\n\nWhat You’ll Like About Us\n\n\n* We work on problems that affect the lives of real people. Our users depend on us to make positive changes to their health and their lives.\n\n* We base our work on scientifically-proven, peer-reviewed methodologies that are designed by medical professionals.\n\n* We are a data-driven company through and through.\n\n* We’re a respectful, diverse, and dynamic environment in which Engineering is a first-class citizen, and where you’ll be able to work on a variety of interesting problems that affect the lives of real people.\n\n* We offer a generous budget for personal development expenses like training courses, conferences, and books.\n\n* You’ll get three weeks’ paid vacation and a flexible work policy that is remote- and family-friendly (about 50% of our engineering team is fully remote). We worry about results, not time spent in seats.\n\n* Delicious (and nutritious) daily lunches and snacks prepared by Sam, our NYC office on-site chef.\n\n\n\n\nWhat We’ll Like About You\n\n\n* You have 4+ years of experience as a Data Scientist in a similarly-sized organization, with a proven record of analysis and research that positively impacts your team.\n\n* You have a superior knowledge of statistical analysis methods, such as input selection,  logistic and standard regression, random forests, etc.\n\n* You have extensive experience with pandas, numpy, and sklearn. Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, or similar) is a plus\n\n* You are capable of working with engineers to build an actual production system that uses machine learning and artificial intelligence. We don’t expect you to write production-quality code, but you should have some programming experience.\n\n* You are comfortable with at least “medium data” technologies and how to transcend the “memory bound” nature of most analytics tools.\n\n* You possess excellent SQL/relational algebra skills, ideally with at least a basic knowledge of how different types of databases (e.g.: column vs row storage) work.\n\n* You possess excellent communication skills and the ability to clearly communicate technical concepts to a non-technical audience.\n\n\n

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Kokoon Technology Ltd


Lead Backend Developer


🇪🇺 EU-only

Lead Backend Developer


Kokoon Technology Ltd

🇪🇺 EU-only

ruby on rails

postgresql

python

data science

ruby on rails

postgresql

python

data science


👁 4,088 viewed | ✍️ 406 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
The role: The successful candidate will need the ability to contribute and take ownership on a variety of challenges associated with the backend development. They will be working closely with our small and passionate in-house product development team who focus in different areas including: product design, data science, bio-sensing, IoT and audio systems. The Backend Developer role involves taking features from conceptualisation and prototyping through to production and maintenance, it will ideally suit someone with broad production experience using Ruby on Rails/ Dockers/ PostgreSQL and Python. Ruby/Rails will be the most important area of experience for this role. We expect the candidate to be able to bring their expertise for designing for maintainability, reliability and scalability to the fore. The role suits a candidate who has excellent existing backend technology knowledge but also maintains a thirst for expanding their expertise, can concisely communicate their ideas to cross-functional team members and can balance their workload to effectively meet the needs of the business. We are considering remote workers for the role, so ability to do this effectively is important.\n\nA bit about the backend: The backend manages all audio, bio-sensor and usage data, sensor data processing and (ML based) algorithms, personalised audio recommendation system and is used for ongoing data science and research purposes. Ruby on Rails is used for the main backend app.\n\nAbout the Company:\n\nKokoon Tech is an award winning, venture capital backed, health and wellness start-up based in London with a mission to help the world relax and sleep better. Kokoon Tech are doing this by gaining a uniquely deep understanding of the link between relaxation/sleep and audio content. Their apps, associated backend systems and sensor-enabled products provide adaptive audio content and coaching clinically shown to induce and protect relaxation. After shipping their first headphone product in 2018 they have shipped over 27,000 units to over 50 countries. \n\nBenefits\n• Competitive salary\n• Generous share option \n• Pension scheme\n• Friendly/dynamic team\n \n\n# Requirements\nRole experience requirements:\n• 5+ years professional Backend Development experience with Ruby on Rails.\n• Active Admin\n• PostgreSQL\n• Containerisation (Docker)\n• Data migration and analysis\n• Sidekiq job scheduling (or equivalent)\n• Python \n• RSpec and preparing Integration and end-to-end tests (or equivalent)\n• System monitoring tools (such as New Relic/Airbrake)\n• Degree in Software/Computer Science (or similar technical/engineering degree) or proven experience in development and design of backend applications.\n• Full software development lifecycle experience from design phase through to production and maintenance.\n• Good understanding of design patterns\n• Excellent professional skills.\n• Experience with Github SCM\n\nDesirable skills/experience include\n• DevOps\n• Machine Learning\n• Data Science \n\n#Salary\n$64,000\n\n\n#Location\n- 🇪🇺 EU-only

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komoot


Senior Data Scientist Backend Engineer

Senior Data Scientist Backend Engineer


komoot


data science

senior

engineer

backend

data science

senior

engineer

backend


👁 236 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nTo help us continue to grow, we are looking for an experienced data scientist dedicated to coding and building production-ready services.\n\nWith over 9 million active users, komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. Using this data as well as various open data sources, you will drive product enhancements forward that will directly impact the user experience. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nYour key responsibilities\n\n\n* Work closely with our web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Write code that is well structured, well tested and documented\n\n* Enhance existing components and APIs as well as write new services from scratch\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged in a wide range of data science tasks\n\n* You deal with a diverse set of data (user-generated content, analytics data and external data sources)\n\n* You go beyond prototyping and ship your code to production\n\n* You contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of industry experience in data science\n\n* Have 2+ years of experience in professional programming, preferable in Python or Java\n\n* Experience in technologies like pandas, numpy, Jupyter Notebooks, seaborn, scikit-learn, PyTorch and TensorFlow\n\n* Know your toolkit: git, ssh, bash and docker.\n\n* Experience in AWS, infrastructure as code and monitoring is a plus\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\nSounds like you?\n\nSend us the following:\n\n\n* Your CV in English\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n

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Direct Supply

 

Data Scientist

Data Scientist  


Direct Supply


data science

data science


👁 3,752 viewed | ✍️ 645 applied (17%)
This job post is archived and the position is probably filled. Please do not apply.
\nJob Summary:    \n\nThe Data Scientist will leverage scientific methods of analyzing data sources, (internal and external) to predict various business outcomes, build features for Direct Supply products and platforms and drive better cost revenue and business outcomes through statistical inference, forecasting, automation, and optimization. The Data Scientist will also consult and advise stakeholders and senior management in the purchase, implementation, and application of external data science solutions to Direct Supply’s business. In addition, the Data Scientist will implement and support proprietary Machine Learning and AI solutions built by the Direct Supply Research Data Scientists. This will include troubleshooting problems, retraining models and analyzing/updating data pipelines. \n\nEssential Job Functions and Responsibilities:\n\n\n* Understand the business problem, validate requirements, ensure the scope of the request is fully understood and ensure business problems are translated to the right AI problem statement. \n\n* Use fundamental Statistical methods such as hypothesis testing, experiment design, sampling etc to help solve decision analysis and optimization problems. \n\n* Create and maintain AI/Machine Learning solutions using methods such as Dimension Reduction, Regression, Classification, Natural Language processing, etc using a programming platform such as Spark/Scala, R, and Python.\n\n* Use querying languages such as SQL to perform comprehensive data analysis and validate solutions utilizing a thorough understanding of Direct Supply data structures and external data sets related to senior living.\n\n* Build presentations, reporting, and visualizations for business consumption using Rmarkdown, shiny-server, bokeh, matplotlib, ggplot, etc.\n\n* Implement statistical studies such as transactional surveys, NPS/Loyalty studies, macro/microeconomic analysis.\n\n* Document complex machine learning solutions as presentations and gitlab/github documentation.\n\n\n

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SemanticBits

 

Data Scientist Healthcare Policy Research

Data Scientist Healthcare Policy Research  


SemanticBits


data science

data science


👁 3,299 viewed | ✍️ 338 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nWe are looking for data scientists with policy research experience to perform data processing and analysis tasks, such as monitoring data quality, applying statistical and data science methods, and creating data visualizations. In this role you will work on multi-disciplinary teams supporting program evaluation and data analytics to inform policy and decision makers.\n\nResponsibilities\n\n\n* Answering research questions or building solutions that involve linking health or healthcare data to other administrative data.\n\n* Designing, planning, and implementing the data science workflow on tasks and projects, involving descriptive statistics, machine learning or statistical analysis, data visualizations, and diagnostics using programming languages such as R or Python\n\n* Communicating results to collaborative project teams using data visualizations and presentations via tools such as notebooks (e.g. Jupyter) or interactive BI dashboards\n\n* Developing and maintaining documentation using Atlassian Confluence and Jira\n\n* Implementing quality assurance practices such as version control and testing\n\n\n\n\nRequirements \n\n\n* Master’s degree in Statistics, Data Science, Math, Computer Science, Social Science, or related field of study\n\n* Eight (8) years of experience \n\n* Demonstrable enthusiasm for applying data science and statistics to social impact projects in academic, extra-curricular, and/or professional settings\n\n* Demonstrable skills in R or Python to manipulate data, conduct analyses, and create data visualizations\n\n* Ability to version code using GitExperience with healthcare claims and administrative data\n\n* Ability and desire to work independently as part of remote, interdisciplinary teams\n\n* Strong oral and written communication skills\n\n\n

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SemanticBits

 

Healthcare Data Analyst

Healthcare Data Analyst  


SemanticBits


analyst

data science

analyst

data science


👁 4,148 viewed | ✍️ 440 applied (11%)
This job post is archived and the position is probably filled. Please do not apply.
\nSemanticBits is looking for a Data Analyst with experience in Healthcare who is eager to use their domain knowledge and their skills in BI tools, SQL, and programming to rapidly turn data into insights.\n\nRequirements:\n\n\n* Minimum of three years working in the healthcare industry (preferably with Medicare and/or Medicaid data) in a data analyst role.\n\n* Bachelor's degree with quantitative focus in Statistics, Operations Research, Computer Science or a related field and a minimum of six years of relevant experience.\n\n* Demonstrable expertise in basic statistics, SQL, and Python programming.\n\n* Strong understanding of relational database and data warehousing concepts (e.g. OLAP, dimensional modeling).\n\n* Minimum two years experience with BI tools, such as Tableau, MicroStrategy, Looker.\n\n* Strong technical communication skills; both written and verbal\n\n* Ability to understand and articulate the “big picture” and simplify complex ideas\n\n* Strong problem solving and structuring skills\n\n* Ability to identify and learn applicable new techniques independently as needed\n\n\n

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Auth0


Data Scientist

Data Scientist


Auth0


data science

data science


👁 605 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
Auth0 is a pre-IPO unicorn. We are growing rapidly and looking for exceptional new team members to add to our teams and will help take us to the next level. One team, one score. \n\nWe never compromise on identity. You should never compromise yours either. We want you to bring your whole self to Auth0. If you’re passionate, practice radical transparency to build trust and respect, and thrive when you’re collaborating, experimenting and learning – this may be your ideal work environment.  We are looking for team members that want to help us build upon what we have accomplished so far and make it better every day.  N+1 > N.\n\nThe Data Scientist will help build, scale and maintain the entire data science platform. The ideal candidate will have a deep technical understanding, hands-on experience in building Machine Learning models coming up with valuable insights, and promoting a data-driven culture across the organization. They would not hesitate to wrangle data, if necessary, understand the business objectives and have a good understanding of the entire data stack.\n\nThis position plays a key role in data initiatives, analytics projects, and influencing key stakeholders with critical business insights. You should be passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source Data Science technologies.\n\n\n\n\nResponsibilities\n\n\n\n\n* Use Python and the vast array of AI/ML libraries to analyze data and build statistical models to solve specific business problems.\n\n* Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.\n\n* Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.\n\n* Directly contribute to the design and development of automated selection systems.\n\n* Build customer-facing reporting tools to provide insights and metrics which track system performance.\n\n* Communicate verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations\n\n\n\n\n\n\n\n\n\n\nBasic Qualifications\n\n\n\n\n* Bachelor's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field2 years of working experience as a Data ScientistProficient with data analysis and modeling software such as Spark, R, Python etc.\n\n* Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.\n\n* Experienced in using multiple data science methodologies to solve complex business problems.\n\n* Experienced in handling large data sets using SQL and databases in a business environment.\n\n* Excellent verbal and written communication.\n\n* Strong troubleshooting and problem solving skills.\n\n* Thrive in a fast-paced, innovative environment.\n\n\n\n\n\n\n\n\n\n\nPreferred Qualifications\n\n\n\n\n* Master's degree in Statistics, Applied Math, Operations Research, Engineering, Computer Science, or a related quantitative field.\n\n* 2+ years’ experience as a Data Scientist.\n\n* Fluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)\n\n* Superior verbal and written communication skills with the ability to effectively advocate technical solutions to scientists, engineering teams and business audiences.\n\n* Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects.\n\n* Demonstrable track record of dealing well with ambiguity, ability to self-motivate, prioritizing needs, and delivering results in a dynamic environment.\n\n* Combination of deep technical skills and business savvy to interface with all levels and disciplines within our and our customer’s organizations\n\n\n\n\n\n\n\n\n\n\nSkills and Abilities\n\n\n\n\n* + BA/BS in Computer Science, related technical field or equivalent practical experience.\n\n* At least 3 years of relevant work experienceAbility to write, analyze, and debug SQL queries.\n\n* Exceptional Problem solving and analytical skills.\n\n* Fluent in implementing logistic regression, random forest, XGBoost, bayesian and ARIMA in Python/RExperience in User path navigation with Markov Chain, STAN Bayesian analysis for A/B testingFamiliarity with Sentiment Analysis (NLP) and LSTM AI modelsExperience in full AI/ML life-cycle from model development, training, deployment, testing, refining and iterating.\n\n* Experience in Tableau, Apache SuperSet, Looker or similar BI tools.\n\n* Knowledge of AWS Redshift, Snowflake or similar databases\n\n\n\n\n\n\n\n\n\n\nPreferred Locations:\n\n\n\n\n* #US; #AR;\n\n\n\n\n\n\n\n\nAuth0’s mission is to help developers innovate faster. Every company is becoming a software company and developers are at the center of this shift. They need better tools and building blocks so they can stay focused on innovating. One of these building blocks is identity: authentication and authorization. That’s what we do. Our platform handles 2.5B logins per month for thousands of customers around the world. From indie makers to Fortune 500 companies, we can handle any use case.\n\nWe like to think that we are helping make the internet safer.  We have raised $210M to date and are growing quickly. Our team is spread across more than 35 countries and we are proud to continually be recognized as a great place to work. Culture is critical to us, and we are transparent about our vision and principles. \n\nJoin us on this journey to make developers more productive while making the internet safer!

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Stack Overflow


Data Scientist

verified

Data Scientist


Stack Overflow


data science

data science


👁 8,378 viewed | ✍️ 594 applied (7%)
This job post is archived and the position is probably filled. Please do not apply.
\nAs our Data Scientist, the experiments and analysis you deliver will impact the tens of millions of users Stack Overflow sees each day. You’ll work with interesting data sets around our community Q&A, team collaboration and hiring products, our ads offerings, and our internal sales and finance processes.  Partnering with our engineering team, you’ll have ready access to our data, tooling, and infrastructure. \n\nIn a typical week, you will liaise with multiple product teams, field requests from all levels of the company (from individual contributors to the CEO), and participate in the development of our internal data systems. There is considerable variety in work throughout the year, ranging from model building, to survey design and analysis, through to A/B testing. \n\nAs you deliver results, you’ll also be empowered to share your knowledge with the organization as a whole, highlighting the implications of your findings and the manner of their discovery. We also encourage team members to present  their findings publicly and present them opportunities to do so. You can expect to have plenty of opportunities to directly impact product decisions, business plans, and new features.\n\nWhat we’re looking for when you apply:\n\n\n* Your resume shows that you have at least 3 years of experience with quantitative analysis and statistical modeling\n\n* You are willing to work primarily with R and some know basic SQL (any other programming language would also be a bonus)\n\n* You have a high level of comfort discussing (in writing and in conversation) specialized information with people who may not share your expertise\n\n* You are comfortable working in RStudio and the Tidyverse\n\n* You have experience partnering with engineering and product managers as you see the impact of your research through into product and development decisions\n\n* You’re interested in working here.  We read every application, so please make sure to let us know what specifically about this role and working here interests you\n\n\n\n\nWhat you’ll get in return:\n\n\n* Ability to work remotely, with flexible hours\n\n* 20 days paid vacation + holidays\n\n* Completely free health insurance - no copay, no premiums (US residents)\n\n* Generous parental leave (12-16 weeks at 100% pay), family care leave, and unlimited sick days\n\n* Employees will never be poked with a sharp stick\n\n\n\n\nIf you want to work remotely…. We’ll help you set up a great home office, with an ergonomic chair, standing desk, and any other equipment you need to do your job.\n\nIf you want to work in our office… You’ll get your own private office in our headquarters in New York City, and enjoy additional benefits like free lunch every day prepared by our own in-house chefs, transportation reimbursement, and all the espresso you can drink.

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A-Line Staffing Solutions


Data Scientist

Data Scientist


A-Line Staffing Solutions


data science

data science


👁 3,907 viewed | ✍️ 310 applied (8%)
This job post is archived and the position is probably filled. Please do not apply.
\n A-Line Staffing is seeking a qualified candidate for the position of Remote Data Scientist located in Denver, CO\n\n\nPlease review the desired qualifications listed below and apply or contact Nate Namiotka with questions.\n\n\nResponsibilities include: \n\n\n* Identify and develop products and solutions that can help grow and transform the data business by designing and building models and algorithms to drive predictive & prescriptive analytics across the customer journey and product portfolio.\n\n* Research client problems and unmet data needs, compile and evaluate research on market requirements, identify, develop and evaluate new product ideas or enhancements to existing products, translate research discoveries into usable and marketable solutions.\n\n* Deliver on insights and analytics to help business leaders answer critical questions related to unmet market problems, customer journey and product adoption.\n\n* Support business models for new solutions and to evaluate performance of existing and new initiatives; research and develop statistical learning models for data analysis.\n\n* Collaborate with other data transformation teams, product development, operations and client teams to provide technological and data driven solutions to pressing business issues.\n\n* Identify opportunities for leveraging advanced analytics in transforming the business, products and solutions for clients.\n\n* Mine and analyze data to drive optimization and improvement of product development, marketing techniques, and business strategies.\n\n* Develop processes and tools to monitor, and analyze model performance and data accuracy.\n\n\n\n\n\nRequirements:\n\n\n* 5 – 7 years of experience as a software engineer\n\n* 5 - 7 years of experience in solving complex business problems using data science, statistical techniques & machine learning to build predictive & prescriptive solutions across product portfolios and customer journeys.\n\n* Experience building multi-tenant SaaS applications\n\n* Experience with HR software, compensation analysis and market matching\n\n* Demonstrated success in working with dynamic and autonomous teams in a global organization, including experience working in an agile environment with iterative feedback.\n\n* Comfortable with loosely defined requirements where you exercise your analytical skills to collaborate with the rest of the team to build solutions\n\n* Attention to detail with focus on data quality, data consistency and criticality.\n\n* Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations, including experience in visualizing, presenting and effectively communicating data.\n\n* Some travel, including international, may be required.\n\n* Knowledge of and experience with one or more modern programming languages, C# and Python are preferred.\n\n* Hands-on experience with data analysis tools particularly Python\n\n* Applied knowledge and experience with building and training ML models\n\n* Experience with Microsoft Azure Machine Learning – specifically deployment and training of ML models using (Keras, TensorFlow, Scikit-learn or similar packages)\n\n* Experience using Jupyter Notebooks, Azure Machine Learning Notebook VM or similar Data Science tools\n\n* Understands the fundamentals of Deep Neural Networks (DNNs) and how they ‘learn’ using backpropagation\n\n* Exposure to AI, Deep Learning, Neural Networks and NLP\n\n* Extensive experience with relational, document and NoSQL database technologies.\n\n* Experience in Enterprise Visualization Tools: PowerBI, Dundas, Tableau, QlikView.\n\n* University bachelor’s degree in data science, data analysis, statistics, applied mathematics, computer science, engineering, or any other related discipline; master’s degree is preferred. 2-5 years demonstrated data science or analytic experience.\n\n* Candidates must be local in Denver or surrounding areas. This role will primarily be remote but the person will be required to come into the office around 1x/week.\n\n\n\n\n\n\nI look forward to hearing from you soon!\n\n\nNate Namiotka – A-Line Staffing

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Redox


Data Scientist

Data Scientist


Redox


data science

data science


👁 4,712 viewed | ✍️ 448 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
At Redox our mission is to enable the frictionless adoption of technology in healthcare. To that end we have enabled a network of healthcare organizations and technology developers to connect through us to improve patient healthcare. Our customers have asked us to help minimize data duplication for various scenarios. An ideal candidate is a data science enthusiast and will solve complex data-related problems, using advanced statistical and machine learning tools, in a real-world setting with product managers and engineers. Candidates should demonstrate strong statistical, mathematical and technical skills, with proven capabilities to transition ideas into fully working projects. In addition, the candidate needs to have a creative and first principles mindset to examine our current processes and help us grow our Data Science muscle at Redox. \n\n\n\n\nWHAT YOU'LL DO:\n\n\n\n\n* Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision-making systems – from research to production and deployment\n\n* Collaborate on highly technical projects - from redesigning working infrastructures to maintaining and improving our current models and underlying systems to integrating new technologies to the data science workflow\n\n* Enhance data collection procedures to include information that is relevant for building our analytical systems\n\n\n\n\n\n\n\n\n\n\nWHAT WE LOOK FOR:\n\n\n\n\n* Minimum 3-5 years of experience working in data science at a company. \n\n* Experience working with machine learning libraries, for example, Fastai, Numpy, xgboost, sklearn, scipy among others; natural language processing experience is a plus\n\n* Experience with deep learning frameworks (Tensorflow, PyTorch, etc) a plus\n\n* Experience in implementing statistical/machine learning algorithms (parametric and non-parametric models, classification and regression trees, Bayesian models, clustering and dimensionality reduction techniques)\n\n* Background in at least one high level programming language (e.g.,Python, R, Java, Javascript)\n\n\n\n\n\n\n\n\nAbout Redox:\n\nWhat We Do\nHealthcare organizations and technology vendors connect to Redox once, then authorize what data they send to and receive from partners through a centralized hub. Redox's cloud-based platform is vendor and standards agnostic and enables the secure and efficient exchange of healthcare data.\n\nThis approach eradicates the need for point-to-point integrations and accelerates the discovery, adoption, and distribution of patient and provider-facing technology solutions. With hundreds of healthcare organizations and technology vendors exchanging data today, Redox represents the largest interoperable network in healthcare. Learn how you can leverage the Redox platform at www.redoxengine.com.\n\nOther Stuff About Us\nRedox is an EEO company. We fully support the diversity of our team! Here's a recent blog post about our stance on diversity and belonging: Diversity at Redox\n\nWe believe in holding ourselves to a high standard of conduct. Here's how we think about this: Redox Code of Conduct\n\nSuccessful candidates must be eligible to be employed in the US, and must reside in the US.\n\nThank you for your interest in Redox!

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Crisp

 

Data Scientist

Data Scientist  


Crisp


data science

data science


👁 4,017 viewed | ✍️ 591 applied (15%)
This job post is archived and the position is probably filled. Please do not apply.
\nHere at Crisp, we value the strength in teamwork, and strongly believe that it’s the key to Crisp’s success. By bringing together bright, motivated creators, wherever they live and work, we are leveraging humanity’s diversity of experience and background in order to understand the challenges facing our food supply, and solve them together. Come join us, and help build the type of business you’d like to be a part of.\n\nWe are a socially conscious, distributed team. We give you the opportunity to solve challenges in the global food industry while living where you’re most comfortable and working in areas where you can help foster and grow the community that you are a part of.\n\nAs one of the first members of the data science team at Crisp you have will have a unique opportunity to turn previously scattered and inconsistently structured data into immediately actionable food industry insights to reduce waste, increase freshness and much more.\n\nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - not only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data can help us further bolster our conclusions. You love engaging with customers, learning about their challenges and then diving into the data to see how to solve them!\n\nSigns of a great candidate\n\n\n* Collaborative. You know that your colleagues’ perspectives will make our customers successful. Similarly, you use your strengths to help us grow together. You propose ways for us to be more engaged and successful with our customers.\n\n* Customer focused. Our customers are at the forefront of your day.  You prioritize our customers’ voice to ensure their needs are met. \n\n* Ambitious, curious, and resourceful. You are innately curious, and you aren’t afraid to work hard. You are self driven, you take direction well but are able to be creative to find results on your own when asked. You are driven to succeed because your hard work and results make you proud.\n\n* Disciplined and reliable.  We are a distributed company and you enjoy the benefits of working distributed while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\n* Appreciative of honest feedback.  You know that the best way to learn and grow is through constructive feedback delivered kindly. You view feedback given to you as an opportunity to get better and strive to do the same for others.\n\n* Work smarter and harder. You often identify a problem, create a solution and bring it to a state of completion - with others, or even on your own.  You find ways of eliminating or automating stuff that is uninteresting or wasteful.\n\n\n\n\nCrisp’s Data Science Tech Stack\n\n\n* Modern libraries and frameworks.  We use Python with Pandas and Numpy for data science in production.  We use technologies like Jupyter and R during EDA.\n\n* Diverse technologies and algorithms, solving real world problems.  At Crisp you’ll work with a wide range of technologies and algorithms on a daily basis, in a focused effort to solve large scale problems.\n\n* Continuous deployment. Code is never far from being deployed to production, because if it’s not in production, it’s not solving problems in the real world. Our branch time spans are short, and features under development are hidden behind feature flags.\n\n* Cloud first. As a services offering in the 21st century, the cloud isn’t the future, it’s the present. We’re fully invested in using the features offered by our cloud provider in order to minimize technical debt and maximize productivity.\n\n* Micro-services. Not for the sake of the buzz, but when they make sense. By adopting a modern, thoughtful services architecture we’re able to scale organizationally, reduce technical debt, and maintain a high, sustained velocity.\n\n* Start-up mode.  The team is still small, and the product is fresh.  You’ll be able to exert a large amount of influence, and contribute to decisions that will determine the future of the product and the team.\n\n\n\n\nWe are building a team of developers with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific background, experience or geographical location. Instead we’re looking for individuals that are capable, reliable, and hoping to grow along with us. Do you have strengths you can share? If so, we’d love to hear from you!

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Vendrive


Backend Software Engineer

verified
🇺🇸 US-only

Backend Software Engineer


Vendrive

🇺🇸 US-only

go

golang

postgresql

data science

go

golang

postgresql

data science


👁 5,412 viewed | ✍️ 447 applied (8%)
This job post is archived and the position is probably filled. Please do not apply.
# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a Backend Software Engineer with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n# Responsibilities\n* Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.)\n\n#Location\n- 🇺🇸 US-only

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Ephesoft


Machine Learning Engineer Data Scientist

Machine Learning Engineer Data Scientist


Ephesoft


machine learning

data science

engineer

machine learning

data science

engineer


👁 1,450 viewed | ✍️ 96 applied (7%)
This job post is archived and the position is probably filled. Please do not apply.
\nBuilders and Fixers Wanted!\n\nCompany Description:  \n\nEphesoft is the leader in Context Driven Productivity solutions, helping organizations maximize productivity and fuel their journey towards the autonomous enterprise through contextual content acquisition, process enrichment and amplifying the value of enterprise data. The Ephesoft Semantik Platform turns flat data into context-rich information to fuel data scientists, business users and customers with meaningful data to automate and amplify their business processes. Thousands of customers worldwide employ Ephesoft’s platform to accelerate nearly any process and drive high value from their content. Ephesoft is headquartered in Irvine, Calif., with regional offices throughout the US, EMEA and Asia Pacific. To learn more, visit ephesoft.com.\n\nReady to invent the future? Ephesoft is immediately hiring a talented, driven Machine Learning Engineer or Data Scientist to play a key role in developing a high-profile AI platform in use by organizations around the world. The ideal candidate will have experience in developing scalable machine learning products for different contexts such as object detection, information retrieval, image recognition, and/or natural language processing.\n\nIn this role you will:\n\n·         Develop and deliver CV and NLP systems to bring structure and understanding to unstructured                 documents. \n\n·         Innovate by designing novel solutions to emerging and extant problems within the domain of                       invoice processing. \n\n·         Be part of a team of Data Scientists, Semantic Architects, and Software Developers responsible                 for developing AI, ML, and Cognitive Technologies while building a pipeline to continuously deliver             new capabilities and value. \n\n·         Implement creative data-acquisition and labeling solutions that will form the foundations of new                 supervised ML models. \n\n·         Communicate effectively with stakeholders to convey technical vision for the AI capabilities in our               solutions. \n\n You will bring to this role:\n\n·         Love for solving problems and working in a small, agile environment.\n\n·         Hunger for learning new skills and sharing your findings with others.\n\n·         Solid understanding of good research principles and experimental design. \n\n·         Passion for developing and improving CV/AI components--not just grabbing something off the                     shelf. \n\n·         Excitement about developing state-of-the-art, ground-breaking technologies and owning them                   from imagination to production. \n\nQualifications\n\n·         3+ years of experience developing and building AI/ML driven solutions\n\n·         Development experience in at least one object-oriented programming language                                           (Java, Scala, C++) with preference given to Python experience\n\n·         Demonstrated skills with ML, CV and NLP libraries/frameworks such as NLTK, spaCy,                                 Scikit-Learn, OpenCV, Scikit-Image\n\n·         Strong experience with deep learning libraries/frameworks like TensorFlow, PyTorch, or Keras\n\n·         Proven background of designing and training machine learning models to solve real-world                         business problems\n\nAdditional information\n\nEphesoft is proud to be an Equal Opportunity Employer.  Candidates outside of the United States will not be considered. \n\nEEO Statement:\n\nEphesoft embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.

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XOi Technologies

 

Senior Data Scientist

Senior Data Scientist  


XOi Technologies


data science

senior

data science

senior


👁 2,235 viewed | ✍️ 257 applied (11%)
This job post is archived and the position is probably filled. Please do not apply.
\nXOi Technologies is changing the way field service companies capture data, create efficiencies, collaborate with their technicians, and drive additional revenue through the use of the XOi Vision platform. Our cloud-based mobile application is powered by a robust set of machine learning capabilities to drive behaviors and create a seamless experience for our users.\n\nWe are a group of talented and passionate engineers and data scientists working together to discover and provide valuable insights for our customers. We leverage state-of-the-art machine learning techniques to provide our users with these unique insights, best practices, and solutions to the challenges they face in their workplace. Problems and solutions typically center around aspects of the Vision platform such as image recognition, natural language processing, and content recommendation.\n\nAs a Senior Data Scientist, you will build machine learning products to help automate workflows and provide valuable assistance to our customers. You’ll have access to the right tools for the job, large amounts of quality data, and support from leadership that understands the full data science lifecycle. You’ll build models using technologies such as Python, Tensorflow, and Docker.\n\nResponsibilities:\n\n\n* Interpret and understand business needs/market opportunities, and translate those into production analytics.\n\n* Select appropriate technologies and algorithms for given use cases.\n\n* Work directly with product managers and engineering teams to tightly integrate new analytic capabilities.\n\n* Prepare reports, visualizations, and other documentation on the status, operation and maintenance of the analytics you create.\n\n* Stay current on relevant machine learning and data science practices, and apply those to existing problem sets.\n\n\n\n\nRequirements: \n\n\n* Excellent understanding of machine learning algorithms, processes, tools, and platforms including: CNN, RNN, NLP, Tensorflow, PyTorch, etc.\n\n* Proficient with the following (or comparable): Linux, Python, scikit-learn, NumPy, pandas, spaCy.\n\n* Applied experience with machine learning on large datasets/sparse data with structured and unstructured data.\n\n* Experience with deep learning techniques and their optimizations for efficient implementation.\n\n* Great communication skills, ability to explain predictive analytics to non-technical audiences\n\n* Bachelor’s in Math, Engineering, or Computer Science (or technical degree with commensurate industry experience).\n\n* 3+ years of relevant work experience in data science/machine learning.\n\n\n\n\nNice to Have:\n\n\n* AWS services such as Lambda, AppSync, S3, and DynamoDB\n\n* DevOps experience with continuous integration/continuous deployment.\n\n* Experience in software engineering best practices, principles, and code design concepts.\n\n* Speech-to-text or OCR expertise.\n\n\n\n\nYou Are Someone Who:  \n\n\n* Has a passion for code quality and craftsmanship.\n\n* Views your profession as your craft and continuously pursues excellence in your work.\n\n* Thrives in a fast-paced, high-growth startup environment.\n\n* Collaborates effectively across various teams, coordinating regularly to set and manage expectations.\n\n\n\n\nYou’ll experience:  \n\n\n* Being a key part of a fast-growing software company where you can make a difference.\n\n* Comprehensive insurance plans.\n\n* Monthly wellness allowance.\n\n* Flexible paid time off & paid volunteer time.\n\n* Learning & development.\n\n* Working in the historic and centrally located Marathon Village in Nashville, TN.\n\n* Participating in team outings, events, and general fun! \n\n* Helping to change an industry by serving the men and women that make our world turn.\n\n\n

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X-Mode Social

 

Senior Data Scientist

Senior Data Scientist  


X-Mode Social


data science

senior

data science

senior


👁 2,548 viewed | ✍️ 260 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nIn the Senior Data Scientist role, you will have full ownership over the projects you tackle, contribute to solving a wide range of machine learning applications, and find opportunities where data can improve our platform and company. We are looking for an experienced and creative self-starter who executes well and can exhibit exceptional technical know-how and strong business sense to join our team. \n\n\nWHAT YOU'LL DO:\n\n\n* Mine and analyze data from company data stores to drive optimization and improvement of product development, marketing techniques and business strategies\n\n* Assess the effectiveness and accuracy of data sources and data gathering techniques\n\n* Develop and implement data cleansing and processing to evaluate and optimize data quality\n\n* Develop custom data models and algorithms to apply to data sets\n\n* Run complex SQL queries and existing automations to correlate disparate data to identify questions and pull critical information\n\n* Apply statistical analysis and machine learning to uncover new insights and predictive models for our clients\n\n* Develop company A/B testing framework and test model quality\n\n* Collaborate with data engineering and ETL teams to deploy models / algorithms in production environment for operations use\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy\n\n* Ad-hoc analysis and present results in a clear manner\n\n* Create visualizations and storytelling\n\n* Communicate Statistical Analysis and Machine Learning Models to Executives and Clients\n\n* Create and manage APIs\n\n\n\n\nWHO YOU ARE:\n\n\n* 3-5+ years of relevant work experience\n\n* Extensive knowledge of Python and R\n\n* Clear understanding of various analytical functions (median, rank, etc.) and how to use them on data sets\n\n* Expertise in mathematics, statistics, correlation, data mining and predictive analysis\n\n* Experience with deep statistical insights and machine learning ( Bayesian, clustering, etc.)\n\n* Familiarity with AWS Cloud Computing including: EC2, S3, EMR.\n\n* Familiarity with Geospatial Analysis/GIS\n\n* Other experience with programming languages such as Java, Scala and/or C#\n\n* Proficiency using query languages such as SQL, Hive, and Presto\n\n* Familiarity with BDE (Spark/pyspark, MapReduce, or Hadoop)\n\n* Familiarity with software development tools and platforms (Git, Linux, etc.)\n\n* Proven ability to drive business results with data-based insights\n\n* Self-initiative and an entrepreneurial mindset\n\n* Strong communication skills\n\n* Passion for data\n\n\n\n\nWHAT WE OFFER:\n\n\n* Competitive Salary\n\n* Medical, Dental and Vision\n\n* 15 Days of PTO (Paid Time Off)\n\n* Lunch provided 2x a week \n\n* Snacks, snacks, snacks!\n\n* Casual dress code\n\n\n

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Thinkful


Data Science Course Mentor

Data Science Course Mentor


Thinkful


data science

data science


👁 2,664 viewed | ✍️ 224 applied (8%)
This job post is archived and the position is probably filled. Please do not apply.
\nApply here\n\n\nData Science Course Mentor\n\n\n* Mentorship\n\n* Remote\n\n\n\n\n\n* Part time\n\n\n\n\n\n\nWho We Are\nAt Thinkful, we believe that if schools put in even half the amount of effort that students do the outcomes would be better for everyone. People would have a path to a fulfilling future, instead of being buried under debt. Employers would benefit from a workforce trained for today. And education could finally offer students a return on their investment of both money and time. \n\nWe put in outlandish amounts of effort to create an education that offers our students a guaranteed return on their investment. we partner with employers to create a world-class curriculum built for today. We go to ends of the earth to find mentors who are the best of the best. We invest more in career services than any of our peers. We work hard to be on the ground in the cities our students are. Simply put, no other school works as hard for its students as we do. \n\n\nThe Position\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed technologists. As a Course Mentor, you will support students by acting as an advisor, counselor, and support system as they complete the course and land their first industry job. To achieve this, you will engage with students using the below range of approaches, known as Engagement Formats. Course Mentors are expected to provide support across all formats when needed. \n\n\n\n* Mentor Sessions: Meet with students 1-on-1 in online video sessions to provide technical and professional support as the student progresses through the curriculum.\n\n* Group Sessions: Host online video sessions on topics of your expertise (in alignment with curriculum offerings) for groups of student seeking live support between mentor sessions. \n\n* Grading: Reviewing student checkpoints submissions and delivering written feedback, including analysis of projects and portfolios. \n\n* Technical Coaching: Provide in-demand support to technical questions and guidance requests that come to the Technical Coaching team through text and video in a timely manner. This team also provides the TA support for immersive programs. \n\n* Assessments & Mock Interviews: Conduct 1-on-1 mock interviews and assessments via video calls and provide written feedback to students based on assessment rubrics. \n\n\n\n\nIn addition to working directly with students, Course Mentors are expected to maintain an environment of feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment.\n\nRequirements\n\n\n* Minimum of 3 years professional experience as a Data Scientist or demonstrated expertise with data visualizations and machine learning at an industry level\n\n* Proficiency in SQL, Python\n\n* Professional experience with Hadoop and Spark a plus\n\n* Excellent written and verbal communication\n\n* High level of empathy and people management skills\n\n* Must have a reliable, high-speed Internet connection\n\n\n\n\nBenefits\n\n\n* This is a part-time role (10-25 hours a week)\n\n* Fully remote position, with the option to work evenings and weekends in person in 22 US cities\n\n* Community of 500+ like-minded Educators looking to impact others and keep their skills sharp\n\n* Full access to all of Thinkful Courses for your continued learning\n\n* Grow as an Educator\n\n\n\n\nApply\nIf you are interested in this position please provide your resume and a cover letter explaining your interest in the role.\n\nThinkful can only hire candidates who are eligible to work in the United States.\n\nWe stand against any form of workplace harassment based on race, color, religion, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status. Thinkful provides equal employment opportunities to all employees and applicants. If you're talented and driven, please apply.\n\nAt this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming\n\nApply here

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Brightfield Group

 

Data Scientist

Data Scientist  


Brightfield Group


data science

data science


👁 4,562 viewed | ✍️ 481 applied (11%)
This job post is archived and the position is probably filled. Please do not apply.
\nPosition Overview:\n\nOur tech team is looking for a data scientist with excellent communication skills and demonstrated experience writing idiomatic Python code. You’re comfortable fielding a question from a non-technical stakeholder about our dataset and then putting together a data visualization with the answer. You’re also ready to troubleshoot a bug in one of our existing ETL scripts and make a pull request with a detailed write-up of the fix. We use Google BigQuery, PowerBI, spaCy, pandas, Airflow, Docker.\n\nThe right candidate has experience with the Python data science stack as well as one or more BI tools such as Tableau or PowerBI, and is able to juggle competing priorities with finesse. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, curiosity, passion, grit, and creativity to contribute to our cutting-edge research of this growing, fascinating industry.\n\nKey Responsibilities:\n\n\n* Query and transform data with Standard SQL and pandas\n\n* Build BI reports to answer questions of our data\n\n* Work with our data engineering team to munge large datasets using our existing data pipelines for our existing BI reports\n\n\n\n\nQualifications & Skills:\n\nREQUIRED:\n\n\n* 1-3 years of experience working full-time with Python for data science; we use pandas, scikit-learn, and numpy\n\n* Intermediate-to-expert level SQL experience; we use Standard SQL\n\n* Experience with one or more natural language processing frameworks; we use spaCy.\n\n* Excellent communication skills and demonstrated ability to collaborate with non-technical stakeholders to create compelling answers to tough data questions\n\n* Intermediate-to-expert level skills with one or more interactive business intelligence tools like PowerBI or Tableau\n\n\n\n\nPREFERRED:\n\n\n* Experience with CI/CD tools like CircleCI; we use GitHub Actions\n\n* Experience with Docker\n\n* Experience with Airflow\n\n\n\n\nBENEFITS:\n\n\n* Choose your own laptop\n\n* Health Insurance\n\n* 401K\n\n\n

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Smile.io


Senior Data Analyst


🌏 Worldwide

Senior Data Analyst


Smile.io

🌏 Worldwide

data analysis

analyst

data science

senior

data analysis

analyst

data science

senior


👁 4,704 viewed | ✍️ 457 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
Smile is the largest provider of reward programs in the world. We reward tens of millions of people every year, and power rewards programs for thousands of businesses around the world. With all this data, we’re looking for talented Data Analysts to join the growing Data Science team. The ideal candidate is data curious, detail-oriented, great at communication, and loves solving problems. We’ve got big scaling plans in 2019 and beyond - we need amazing talent to achieve our goals and you get to be the one to find them and bring them to Smile!\n\nWhat’s it like to work at Smile.io?\n\nWe are a team of smart self-starters who build efficient and unique solutions to problems. You’ll be working with some amazing talent and you'll constantly be pushed to challenge yourself and improve your skills. This starts in the interview process, where you’ll be asked to show us your skills in real-time. It’s not an easy process, but we think you’ll find it rewarding and a great preview to what working here is really like.\n\nAs a team, we’re driven by these core values:\n\nBe Humble - think of the team before thinking of yourself. We have no room for massive egos.\nBe Hungry - set hard goals, ask lots of questions and learn every day.\nBe Human - show empathy towards others, consider the impact of your decisions on other teams.\nWe collaborate on everything. Our communication tools and our space are designed with this in mind - from physical areas to connect in comfort to Slack channels of all sorts, we enable you to reach out to those around you to make sure you have the information you need to make great decisions.\n\nWe know that Smile.io as a business is in constant evolution - the same is true of our people. We’re here to support each other in our growth, so we talk openly about our career goals, hopes & dreams. With such a diverse team of people, we know we can offer you the mentorship, tools and encouragement you need to grow.\n\n# Responsibilities\n Immediate Challenges:\n\nJumping in and getting your hands dirty with large-scale datasets\nThinking about the big picture to help develop our longer-term data strategy\nContributing to the conceptualization of the overall Data strategy at Smile\nResponsibilities:\n\nWork closely with Sales, Marketing, and Finance teams to identify important questions, define key success metrics, and shape data-informed product/business strategies\nSolve challenging business problems through hands-on analytics work\nAdd value to our products and clients through deep analysis and insights and compelling narratives\nDevelop strong hypotheses, independently solve problems and influence major business decisions with sound data and reasonin \n\n# Requirements\nWhat we’re seeking:\n\n3+ years of experience in a Data Analyst role or related position\nA love of solving complex business problems using your strong analytical skills\nSelf-motivated and independent, ability to learn and adapt in a fast-paced environment\nExcellent communication skills, with the ability to clearly explain technical terms to a non-technical audience\nHands-on experience with relational databases\nExperience and passion for developing the right metrics and dashboards/visualization\nTraits or experience we’d love to see (you don’t need them all to apply!):\n\nExperience with teaching and/or presenting to an audience\nHands-on experience with relational databases\nEquivalent Experience or Post-Secondary education in Computer Science, Software Engineering, statistics, economics, mathematics, or similar quantitative discipline\n\n#Location\n- 🌏 Worldwide

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Thinkful


Data Science Specializations Immersion Instructor

Data Science Specializations Immersion Instructor


Thinkful


teaching

data science

teaching

data science


👁 1,625 viewed | ✍️ 130 applied (8%)
This job post is archived and the position is probably filled. Please do not apply.
\nData Science Specializations Immersion Instructor\n\nApply Here\n\n\n* Education\n\n* Remote\n\n\n\n\n\n\nDescription\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed software developers. As an Immersive Course Instructor, you will deliver high quality live workshop content based on existing curriculum, preparing students to successfully transition careers. As an instructor for the specializations part of program, you will deliver high quality live workshop and help to students on topics such as Time Series Analysis, NLP, Deep Learning (using Tensorflow and Keras), or Big Data (using spark, AWS, and hadoop).\n\nIn addition to working directly with students, Instructors are expected to maintain an environment of regular, candid feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment. \n\nResponsibilities:\n\n\n* \nDelivers high quality workshops based on the curriculum materials, and provides live coding demos when appropriate, to supplement written materials and content to provide students with the skills and knowledge to get their first developer job \n\n* Maintains and updates the daily and weekly student syllabus which outlines the required homework and assignments, and deadlines for assessments and projects \n\n* Provides up to 2 hours daily of on-demand video and chat support for students as they move through the program assignments \n\n* Spends up to 4 hours a day prepping for workshops and updating course materials\n\n* Works with the other Format Leads for engagement formats (Mentor Sessions, Group Sessions, Grading, Technical Coaching, Mock Interviews/Assessments) to ensure that consistent experience is happening for students in immersive courses \n\n* Provide constructive feedback to the Instructional Design team on improvements to the course materials and curriculum based on student experience with the materials \n\n\n\n\nRequirements:\n\n\n* Strong expertise with Time Series Analysis, NLP, Deep Learning (using Tensorflow and Keras), or Big Data (using spark, AWS, and hadoop).\n\n* Strong expertise with with Python, SQL, statistics, supervised and unsupervised learning\n\n* Expertise with Data Structures and Algorithms, and comfort explaining these topics \n\n* Ability to run capstone projects and help students during these weeks from idea to implementation\n\n* Ability to explain complicated topics clearly and without jargon\n\n* Strong written and verbal communication skills\n\n* High level of detail orientation and an exceptional work ethic\n\n* Enjoy working with people, not just putting your head down and working\n\n* Must have a reliable, high-speed Internet connection\n\n* Minimum 3-4 years of professional data science experience\n\n* Teaching experience, especially in a remote or online class, is a plus\n\n\n\n\nApply here

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Salesforce


Business Data Analyst Salesforce Innovation Center

Business Data Analyst Salesforce Innovation Center


Salesforce


salesforce

analyst

data science

salesforce

analyst

data science


👁 497 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nBusiness Data Analyst\nLocation: AMER Remote, SF or NY\n\nDepartment Description:\nSalesforce's Innovation Center (SIC) is the epicenter of Salesforce's executive engagement strategy. We deliver engagement and immersive experiences that enable us to better understand our customers' needs and map them to inspiring outcomes. The SIC is where we win the hearts and minds of senior executives, proving Salesforce is a partner to help co-create their vision and guide them to achieve business success.\n\nRole Description\nSalesforce is seeking a highly analytical, articulate, business savvy and collaborative Business Data Analyst to join our Salesforce Innovation Center team. This role requires a mix of business analysis, operational support, and systems aptitude. We are looking for someone with the ability to pull together data sources, generate insights and recommendations, and create compelling dashboards, presentations and other visual displays that accelerate decision making. The work products have high visibility as the team is chartered with assisting the Chief Innovation Officer, SIC Leadership, Sales Leadership, and EVP of Strategic Business Operations in making data-driven strategy decisions. This is a dynamic job where you will be able to influence key business decisions with your insights and recommendations.\n\nDeliverables include:\n\nDetailed business analysis, analytic models, reporting, dashboards and presentations for Salesforce executives.\n\nResponsibilities:\n\n\n* \n\nUnderstand business challenges, KPIs that need to be improved and metrics driving the business\n\n\n* \n\nAdvise SIC leadership by sharing observations and insights found in the data that drive scale, effectiveness, and productivity. Acquire, transform, manipulate and analyze data from multiple sources, ensure data quality\n\n\n* \n\nDevelop reports, dashboards and data visualizations; draw key insights and leverage them to help set the strategic agenda for the business. Deliver insights & recommendations\n\n\n* \n\nCollaborate with Data Warehouse and Big Data team to process customer usage, product, sales, marketing and system interaction data\n\n\n* \n\nAssist in developing and delivering presentations for senior executives\n\n\n* \n\nPrepare ad-hoc analysis in the support of specific initiatives\n\n\n* \n\nAssist in troubleshooting operational issues as they surface; propose changes to systems/ processes to fix root causes\n\n\n* \n\nWork collaboratively with IT and other supporting groups\n\n\n\n\n\n\nRequired Skills/Experience:\n\n\n* \n\n3-5 years of experience focused on data analysis, quantitative analysis and business reasoning\n\n\n* \n\nBachelor’s degree in a technical or business field from an accredited university.\n\n\n* \n\nSelf-starter and high degree of motivation to go above and beyond the task at hand\n\n\n* \n\nExceptional problem solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions\n\n\n* \n\nStrong presentation skills, especially related to building compelling PowerPoint presentations\n\n\n* \n\nWork experience in consulting, finance, or product management is a plus\n\n\n* \n\nExperience with SQL and Business Objects, and Office tools (Excel, Powerpoint or GDoc equivalents) to create reports and presentations\n\n\n* \n\nExperience with Tableau\n\n\n* \n\nExperience with Salesforce technology (Dashboards, Analytics Studio) strongly desired\n\n\n* \n\nExperience with Data Science, Statistical Analysis and development are a definite plus\n\n\n* \n\nBackground in consulting is a plus\n\n\n\n\n\nAccessibility - If you require accessibility assistance applying for open positions please contact the Salesforce.com Recruiting Department.\n\nPosting Statement\n\nSalesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay fees to any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org.\n\nPursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

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Clevertech


Python Data Science

Python Data Science


Clevertech


python

data science

python

data science


👁 1,676 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
Python/Data Science developer required to join a team project which uses social network data at scale. \n\nPlease note that this is a senior-level role, we are currently only considering candidates that meet the requirements below.\n\n\n\n\n\nQualifications:\n\n\n\n\n\n\n* 5+ years experience in a senior developer or architect role; ideally, you have delivered business-critical software to large enterprises\n\n* This role requires a statistical background with experience working with large databases\n\n* Experience working with Python packages such as PySpark and Pandas\n\n* Experience with AWS data-oriented products is required: AWS Glue, Athena, DynamoDB, S3, Lambda Functions\n\n* Experience with Databricks as part of an AWS Pipeline with Lambdas\n\n* Advanced knowledge of interfacing to Facebook, Instagram, Twitter, and Youtube social network APIs\n\n* Experience with NodeJS and ReactJS based web applications\n\n* Experience with Jenkins and Groovy-based imperative pipelines to orchestrate multiple processes during deployments\n\n* Experience and knowledge of advanced GraphQL topics such as schema stitching and federation\n\n\n\n\n\nWhat you’ll do:\n\n\n\n\n\n* Gather influencer statistics, social engagement statistics for sentiment analysis \n\n* Collaborate in every stage of a product's lifecycle; from planning to delivery\n\n* Create clean, modern, testable, well-documented code\n\n* Communicate daily with clients to understand and deliver technical requirements\n\n\n\n\nHow We Work\n\n\nWhy do people join Clevertech? To make an impact. To grow themselves. To be surrounded by developers who they can learn from. We are truly excited to be creating waves in an industry under transformation.\n\n\n\n\nTrue innovation comes from an exchange of knowledge across all of our teams. To put people on the path for success, we nurture a culture built on trust, collaboration, and personal growth. You will work in small feature-based cross-functional teams and be empowered to take ownership.\n\n\n\n\nWe make a point of constantly evolving our experience and skills. We value diverse perspectives and fostering personal growth by challenging everyone to push beyond our comfort level and try something new.\n\n\n\n\nThe result? We produce meaningful work\n\n\n\n\n\nWant to learn more about Clevertech and the team? Check out clevertech.careers and our recent video highlighting an actual Clevertech Sr Developer's Story

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Hit Subscribe


Data Science Big Data Blogger

Data Science Big Data Blogger


Hit Subscribe


big data

data science

copywriting

non tech

big data

data science

copywriting

non tech


👁 4,963 viewed | ✍️ 478 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nHit Subscribe is a company that hires engineers to write content for technical blogs.  So what we're looking for is quite straightforward: engineers interested in a side hustle writing technical content for companies that sell to engineers.  Or, put more simply, we want you to write content (mostly blog posts) about technical topics.\n\nIf you like writing blog posts (or think you might, and have been meaning to start your own technical blog) let's talk.\n\nThis opportunity is:\n\n* 100% remote.\n\n* An extremely flexible side hustle.\n\n* A chance to get immediately in front of a large audience.\n\n* A chance to cross-post content to your own blog (while getting paid for that content).\n\n* A chance to work on your writing with our staff of professional editors/writing coaches.\n\n* Great for building relationships in the industry, with our clients and other authors.\n\n* Excellent for helping with your brand and positioning, whether an employee or a freelancer/contractor.\n\n\n\nIf you're not sure whether this is for you and want a no-commitment, low-friction way to learn more, you can sign up for our weekly side hustlers' email.  It goes out every Thursday and lists what opportunities we have that week, including details about pay and due date.

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Tuft & Needle

 

Data Scientist

Data Scientist  


Tuft & Needle


data science

data science


👁 4,649 viewed | ✍️ 510 applied (11%)
This job post is archived and the position is probably filled. Please do not apply.
THE JOURNEY TO YOUR DREAM JOB COULD BE JUST A CLICK AWAY…\nIn 2012, Tuft & Needle(tn.com) revolutionized the mattress space by turning the focus to the customer with always-honest pricing, an insistence on high-quality products, and world-class customer experience. We started our journey with two software engineers and a dream and today we have grown to a team of more than 175 talented people, working each day to bring the world premium sleep products at an honest cost.\n\nAs a Data Scientist, you'll be an important part of the company's decision-making process. You will help us understand how things are related to each other, which approaches are working, and which aren't. You'll also help us maintain our data-infrastructure. This includes our reporting and data management, as well as automated statistical and machine learning tools.\n\nTogether, we are radically reshaping how we think about sleep, mattresses, and shopping - and we’re just getting started. Want to join us?\n\n*Open to remote opportunity\n\n\n\n\nRESPONSIBILITIES:\n\n\n\n\n* Write programs to automate analyses and data wrangling\n\n* Build machine learning models to forecast and understand customer behavior\n\n* Maintain and improve reporting in Looker, Metabase, and R\n\n* Explain analyses and discoveries with articles and presentations\n\n\n\n\n\n\n\n\n\n\nREQUIREMENTS:\n\n\n\n\n* Strong knowledge of statistics and inference\n\n* 2+ years writing and maintaining code\n\n* 2+ years working with SQL\n\n* Experience communicating statistical concepts to a broad audience\n\n\n\n\n\n\n\n\n\n\nPREFERRED EXPERIENCE:\n\n\n\n\n* Programming in R and/or Python\n\n* Managing and organizing a large codebase\n\n* Experience with Bayesian Methods\n\n* Deep experience in some part of statistics (Ex: time series analysis, experimental design, multivariate analysis, natural language processing, etc.)\n\n* Interest in functional style programming\n\n* Interest in causal inference\n\n\n\n\n\n\n\n\nYOU CAN SLEEP BETTER WHEN YOU WORK AT T&N\nOur people – You will be working alongside some of the most talented, supportive, savvy individuals out there… people we are so proud to work with.  Together, we are shaking things up in the mattress industry and delivering an experience for clients that they would never expect.\n\nOur product – Each team member receives a great bundle of products for themselves.  You will too if you join the team!  Your friends and family will also have access to a great product discount.\n\nOur benefits - We offer comprehensive health benefits for you, eligible partners and dependents, paid maternity & paternity leave, 401k with a match, a generous vacation plan, and so much more. \n\nTuft & Needle is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.\n\nYour experience is important to us. If you have any questions with your application, please contact our Candidate Experience Team at [email protected]

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Iterative


Senior Software Engineer

☝️ verified
🌏 Worldwide

Senior Software Engineer


Iterative

🌏 Worldwide

open source

python

dev tools

dvc

open source

python

dev tools

dvc


👁 28,392 viewed | ✍️ 38 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
We're a well-funded team building open source tools for ML workflow. Our first and core project, [DVC](https://github.com/iterative/dvc), has excellent traction and positive feedback from community. Our mission as a company is to build tools for engineers and data scientists that they love to use.\n\n**Our culture/what we offer:**\n\n- Team is distributed remotely worldwide.\n- Highly competitive salary, stock options, and bonuses.\n- Open source.\n- Founders and team with strong engineering, data science, and open source experience. We all code and understand engineering first-hand.\n- Engineering team is involved into product discussions and planning. We do it openly via [Github](https://github.com/iterative/dvc) or Discord [chat](https://dvc.org/chat).\n- Besides building the product we participate in conferences (PyCon, PyData, O'Reilly AI, etc). We encourage and support the team in giving talks, writing blog-posts, etc.\n- Well-defined process that we all participate in improving.\n\n**Join us if you like us love building open source and developer tools!**\n\n# Responsibilities\n - Discuss and research issues, features, new products.\n- Write code (see some [PR examples](https://github.com/iterative/dvc/pulls?q=is%3Apr+is%3Aclosed) ).\n- Write docs if needed for your code (see this [repo](https://github.com/iterative/dvc.org )).\n- Being actively involved with the community - talk to users on Github, Discord, forum. \n\n# Requirements\nStrong Python knowledge and excellent coding culture (standards, unit test, etc) are required. Alternatively, strong skill in other languages along with some knowledge of Python is also acceptable.\n\n**Must have:**\n\n- Motivation and interest\n- Remote work self-discipline\n- Excellent communication skills - clear, constructive, and respectful dialog with other team members, community.\n- Can focus and deliver a task w/o constantly switching to other stuff - respect team's planning, deadlines, etc\n\n**Great to have:**\n\n- Experience working remotely\n- Open source contributions or experience of maintaining, developing an open source project\n- System programming experience - kernel, databases, etc.\n- Machine learning or data science experience \n\n#Salary\n$1\n\n\n#Location\n- 🌏 Worldwide

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

komoot


Senior Data Analyst

verified
UTC-1 to UTC+3

Senior Data Analyst


komoot

UTC-1 to UTC+3

sql

python

data_analyst

pandas

sql

python

data_analyst

pandas


👁 3,701 viewed | ✍️ 264 applied (7%)
This job post is archived and the position is probably filled. Please do not apply.
**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nWe’re looking for an experienced and curious data analyst to help drive product decisions and help us develop the company strategy. We believe that data-informed decision making is key to our success and your skills, curiosity, and experience will play a crucial role in building the future of outdoor experiences.**\n\nWhy you will love it\n* You’ll be a key player in making product development, marketing, and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll influence and be responsible for the future development of analytics at komoot, technically an organizationally\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want \n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n# Responsibilities\n What you will do\n* Turn data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and discuss findings to different audiences (Co-founders, marketing, product, sales, etc.)\n* Design and lead bigger analytics project to answer komoot’s key questions\n* Organize and prioritize tasks of our data analytics roadmap\n* Be an evangelist of data-informed decision-making\n \n\n# Requirements\nYou will be successful in this position if you\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of experience in evaluating marketing campaigns, cohort analysis, A/B testing and retention\n* Fluent in SQL and Python’s data analytics libraries (pandas, numpy, matplotlib)\n* Have strong communication and team skills\n* Familiarity with statistical concepts\n* Have a good overview of technical solutions in the data analytics field\n* Have a hands-on attitude and are highly self-driven\n\n\n#Location\n- UTC-1 to UTC+3

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Osmosis


Data Analyst

Data Analyst


Osmosis


analyst

data science

analyst

data science


👁 4,431 viewed | ✍️ 324 applied (7%)
This job post is archived and the position is probably filled. Please do not apply.
\nOverview\n\nOur rapidly scaling medical education technology company is seeking a passionate Data Analyst to join our team. In this role, you will be working with the product, marketing, content, and operations teams to help us build the most joyful, effective learning platform in the medical education space.\n\nThis is a hands-on position in a unique remote, start-up environment, so we are looking for a candidate who is not afraid to roll up their sleeves to do the work and to collaborate with team members across the organization.\n\nAbout Osmosis\n\nOur mission is to “Empower the world’s clinicians & caregivers with the best learning experience possible.” To this end, we have an audience of more than a million current & future clinicians as well as patients and family members. Our members of the Osmosis learning platform and video library  use the product to learn efficiently & excel in classes, board exams, and in the clinic. \n\nWe are a team of creative, approachable, and driven entrepreneurs, researchers, and clinicians who are passionate about improving healthcare and education. At Osmosis, we collaborate remotely and value highly-motivated problem solvers who manage their time efficiently, communicate earnestly, work effectively, and understand the importance of life-work balance.  We do everything we can to make sure our teammates are successful personally and professionally.\n\nAbout the Role\n\nAs a Data Analyst, you will turn data into information, information into insight and insight into business decisions. You’ll develop analysis and reporting capabilities as well as monitor performance and quality control plans to identify improvements. Your primary responsibility will be to work with stakeholders across business functions including product, growth, marketing, and operations to build analytics products that enable data-driven decision making. You will guide analytics projects from discovery to solution and help us raise the bar for how we should apply our data to business decisions. In this role, you will be expected to: \n\n\n* Complete analysis projects with business stakeholders to monitor the health of the business and help the business make data-driven strategic, product, and operational decisions\n\n* Develop and own business intelligence dashboards, visualizations, and reports to provide ongoing tracking and insights to the team\n\n* Build and improve advanced analytical models for product and business use cases\n\n* Collaborate with data engineer to improve data architecture and maintain a robust and accurate data warehouse\n\n* Acquire data from primary or secondary data sources and maintain databases/data systems\n\n* Identify, analyze, and interpret trends or patterns in complex data sets\n\n* Discover ways to use analytics to support team members across the business to yield action through data-driven decision making\n\n\n\n\nQualifications\n\n\n* 2-4 years experience managing data analysis projects. eCommerce or SaaS experience is a plus.\n\n* Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.\n\n* Excel at composing concise efficient SQL queries, writing reports and presenting findings with data visualization tools.\n\n* Experience using a cloud data warehouse environment (such as BigQuery)\n\n* Experience with Python and pandas is a plus.\n\n* Working knowledge of business statistics and probability.\n\n* Ability to build trust and communicate insights effectively with a variety of business stakeholders across analytical levels.\n\n* Desire to be a partner to business stakeholders with a shared goal of using analytics and insights to drive the business forward.\n\n* Communicator. Excellent communication skills and a willingness to give and receive feedback.\n\n* Driven. Proactive and self-driven problem-solving with sharp attention to detail.\n\n* Iterative. You deliver results quickly with iteration, instead of waiting for perfection. \n\n* Adaptable. You are flexible and versatile with projects, goals, and strategies. You move quickly with change and stay open-minded\n\n* Entrepreneurial. You are a proven executor and work with urgency to produce excellent results with limited time and resources\n\n* Lifelong learner. You are actively consuming content (podcasts, blogs, books, etc) and applying these learnings in your work to make sure you are as effective as possible. \n\n* Passion for Osmosis’s mission to provide your future clinicians the best education so they can provide you and your loved ones the best care.\n\n\n\n\nOsmosis is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other status protected by law.\n\nTo apply, please submit the following to [email protected]: \n\n\n* Resume\n\n* Portfolio of any relevant work\n\n* Answers to the following questions (50 words or less for each question):\n\n\n\n\n* What was an interesting data problem you worked on within the last year? How did you identify and address it?\n\n* Describe a situation where you did not have access to all of the data needed to triage a problem or analyze a situation, and how you adapted to it.\n\n* Based solely on what you see on osmosis.org, how would you measure customer lifetime value for Osmosis?\n\n\n\nIncomplete applications will not be considered.

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Thinkful


Data Science Immersion Instructor

Data Science Immersion Instructor


Thinkful


teaching

data science

teaching

data science


👁 2,162 viewed | ✍️ 160 applied (7%)
This job post is archived and the position is probably filled. Please do not apply.
\nApply here\n\n\n* Education\n\n* Remote\n\n* Contract\n\n\n\n\n\n\nJob Description\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed software developers. As a Data Science Immersion Course Instructor, you will deliver high quality live workshop content based on the Data Science curriculum, preparing students to successfully transition careers. \n\nIn addition to working directly with students, Instructors are expected to maintain an environment of regular, candid feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment.\n\nResponsibilities\n\n\n* \nDelivers high quality workshops based on the curriculum materials, and provides live demos when appropriate, to supplement written materials and content to provide students with the skills and knowledge to get their first job\n\n* Support students by answering questions and providing guidance as they work independently or in pairs on assignments during the class day\n\n* Maintains and updates the daily and weekly student syllabus which outlines the required homework and assignments, and deadlines for assessments and projects.\n\n* Works with the other Format Leads for engagement formats (Mentor Sessions, Group Sessions, Grading, Technical Coaching, Mock Interviews/Assessments) to ensure that consistent experience is happening for students in immersive courses\n\n\n\n\n\n\nRequirements\n\n\n* 8 hours a day, 5 days a week.\n\n* Available to instruct Monday through Friday 10am-2:00pm ET\n\n* Available to spend up to 4 hours a day prepping for workshops and updating course materials.\n\n* Strong expertise with Python, SQL, statistics, supervised and unsupervised learning, and topics such as NLP, deep learning (using Tensorflow and Keras), or big data (using spark, AWS, and hadoop)\n\n* Expertise with Data Structures and Algorithms, and comfort explaining these topics. \n\n* Ability to explain complicated topics clearly and without jargon\n\n* Strong written and verbal communication skills\n\n* High level of detail orientation and an exceptional work ethic\n\n* Enjoy working with people, not just putting your head down and working\n\n* Must have a reliable, high-speed Internet connection\n\n* Minimum 3-4 years of professional data science experience\n\n\n\n\nCompensation and Benefit\n\n\n* Contract position with a collaborative team\n\n* Ability to work remotely with partially flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n\n\n\nAt this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming

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Wallethub


Senior Data Scientist Global

Senior Data Scientist Global


Wallethub


data science

senior

data science

senior


👁 612 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours (8am - 7pm ET, including 1 hour break).\n\n* Although we appreciate your interest in working with us, due to the high number of applications we receive, we will only be able to respond to successful applicants.\n\n\n

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Thinkful


Data Science Curriculum Writer

Data Science Curriculum Writer


Thinkful


data science

data science


👁 2,288 viewed | ✍️ 137 applied (6%)
This job post is archived and the position is probably filled. Please do not apply.
\nPlease Apply Here\n\nEducation | Remote, USA | Contract\n\nWho We Are Thinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development, data science, and design, with in-person communities in up-and-coming tech hubs around the U.S. To join the Thinkful network visit thinkful.com. Job Description Thinkful is launching a new immersive data science program which aims to be the best in-class remote, full-time data science program offered today. As part of this effort, we're looking for a  data science subject matter expert to join us in executing on our content roadmap for this exciting new program. You will be creating the backbone of a new program that propels people from a background in academia and the sciences into an impactful career as Data Scientists. You'll produce written content, lesson plans including instructor notes and student activity descriptions, presentation decks, code assets, and written content, all to support our students as they learn the core skills of data science. Your work product will be extremely impactful, as it forms the core asset around which the daily experience of our students will revolve.  Responsibilities\n\n\n* Consistently deliver content that meets spec and is on time to support our program launch roadmap\n\n* Create daily lesson plans consisting of \n\n* Presentation decks that instructors use to lecture students on a given learning objective\n\n* Instructor notes that instructors use alongside \n\n* Activity descriptions — these are notes describing tasks students complete together in order to advance the learning objective in a given lecture\n\n* Creates curriculum checkpoint content on specific learning objectives. In addition to the in-class experience, our students also spend time reading and completing tasks for a written curriculum hosted on the Thinkful platform\n\n* Creates code assets to support lesson plans, student activities, and written curriculum content\n\n* Iterates on deliverables based on user feedback\n\n\n\n\nRequirements\n\n\n* 3+ years of hands-on Data Science industry experience \n\n* Demonstrated subject matter expert in stats and probability, programming in Python, Python data science toolkit (comprised of Jupyter notebooks, Pandas, sci-kit-learn), A/B testing, supervised and unsupervised machine learning\n\n* Knowledgeable with Natural Language Processing (NLP), Big Data (Spark, Hadoop), Deep Learning/Machine Learning (keras, tensorflow)\n\n* Collaborative.You enjoy partnering with people and have excellent project management skills and follow through\n\n* Excellent writing skills. You've got a gift for writing about complicated concepts in a beginner-friendly way. You can produce high-quality prose as well as high-quality presentations\n\n\n\n\nCompensation and Benefit\n\n\n* Contract position with a collaborative team\n\n* Ability to work remotely with flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n* At this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming\n\n\n\n\n\n\nApply Here:\n\nhttps://hire.withgoogle.com/public/jobs/thinkfulcom/view/P_AAAAAAEAAAxHq8aIGTpRVo?trackingTag=stackOverflow

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Thinkful


Data Science Subject Matter Expert

Data Science Subject Matter Expert


Thinkful


data science

data science


👁 3,239 viewed | ✍️ 193 applied (6%)
This job post is archived and the position is probably filled. Please do not apply.
\nPlease Apply Here\n\nEducation | Remote, USA | Contract\n\n\nWho We Are\nThinkful is a new type of school that brings high-growth tech careers to ambitious people everywhere. We provide 1-on-1 learning through our network of industry experts, hiring partners, and online platform to deliver a structured and flexible education. Thinkful offers programs in web development, data science, and design, with in-person communities in up-and-coming tech hubs around the U.S. To join the Thinkful network visit thinkful.com.\n\nJob Description\nThinkful is launching a new immersive data science program which aims to be the best in-class remote, full-time data science program offered today. As part of this effort, we're looking for a  data science subject matter expert to join us in executing on our content roadmap for this exciting new program. You will be creating the backbone of a new program that propels people from a background in academia and the sciences into an impactful career as Data Scientists. You'll produce written content, lesson plans including instructor notes and student activity descriptions, presentation decks, code assets, and written content, all to support our students as they learn the core skills of data science. Your work product will be extremely impactful, as it forms the core asset around which the daily experience of our students will revolve. \n\nResponsibilities\n\n\n* Consistently deliver content that meets spec and is on time to support our program launch roadmap\n\n* Create daily lesson plans consisting of \n\n* Presentation decks that instructors use to lecture students on a given learning objective\n\n* Instructor notes that instructors use alongside \n\n* Activity descriptions — these are notes describing tasks students complete together in order to advance the learning objective in a given lecture\n\n* Creates curriculum checkpoint content on specific learning objectives. In addition to the in-class experience, our students also spend time reading and completing tasks for a written curriculum hosted on the Thinkful platform\n\n* Creates code assets to support lesson plans, student activities, and written curriculum content\n\n* Iterates on deliverables based on user feedback\n\n\n\n\nRequirements\n\n\n* 3+ years of hands-on Data Science industry experience \n\n* Demonstrated subject matter expert in stats and probability, programming in Python, Python data science toolkit (comprised of Jupyter notebooks, Pandas, sci-kit-learn), A/B testing, supervised and unsupervised machine learning\n\n* Knowledgeable with Natural Language Processing (NLP), Big Data (Spark, Hadoop), Deep Learning/Machine Learning (keras, tensorflow)\n\n* Collaborative.You enjoy partnering with people and have excellent project management skills and follow through\n\n* Excellent writing skills. You've got a gift for writing about complicated concepts in a beginner-friendly way. You can produce high-quality prose as well as high-quality presentations\n\n\n\n\nCompensation and Benefit\n\n\n* Contract position with a collaborative team\n\n* Ability to work remotely with flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n* At this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming\n\n\n\n\n\n\n\n\n\n\nApply Here:\n\nhttps://hire.withgoogle.com/public/jobs/thinkfulcom/view/P_AAAAAAEAAAxHq8aIGTpRVo?trackingTag=stackOverflow

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Amida Technology Solutions

 

Data Analyst

Data Analyst  


Amida Technology Solutions


analyst

data science

analyst

data science


👁 3,408 viewed | ✍️ 350 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nAmida Technology Solutions is a DC-based technology company focused on solutions for data interoperability, data utility, and data security. We create open source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. We specialize in taking data from inception to impact.\nOur team is comprised of creative, forward thinkers who are passionate about using cutting edge technology to make a difference in people's lives and have a positive impact on our country. We offer an entrepreneurial, high growth environment that values fresh ideas, candid conversations, and authentic teamwork.\nAmida is currently looking for a Data Analyst to join our team in Washington DC or from a remote location within the continental US. In this role you will work across our client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling.  You will be responsible for inspecting, cleansing, transforming and modeling data and will address issues related to data completeness and quality, as well as contribute to and produce technical and data process documentation. \nWhat you will be doing:\n* Prepare and conduct analyses and studies, needs assessment, and requirements analysis to align systems and solutions\n* Apply analytical methodologies and principles to meet client needs.\n* Prepare forecast and analyze trends, develops and analyzes metrics, and prepares reports and recommendations related to management.\n* You will also be responsible for focusing on business performance, project analysis, internal control, risk assessment, and support of project objectives.\n\n\nWhat we are looking for:\n* B.S. and/or M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics\n* Minimum 3-5 year of recent professional experience in data science, data mining and/or data analysis\n* Experience in data migration to include data mapping and data profiling\n* Prior experience working with Healthcare data, or in the Healthcare field\n* Ability to conduct data profiling and predictive analysis using a variety of standard tools\n* Programming proficiency in a subset of Python\n* Experience with data visualization tools and methodologies\n* Ability to communicate concisely and effectively with software engineers and clients\n* Ability to obtain a Public Trust security clearance\n\n\nPreferred Skills\n* Exposure to Amazon Web Services (AWS) and cloud-based systems\n* Previous experience working with government clients such as Dept. of Defense (DoD) or Dept. of Veterans Affairs (VA)\n* Prior experience with metadata management to include meta tagging\n* Previous experience working in an Agile Team setting and using Agile management tools such as Jira\n* Experience with machine learning, natural language, and statistical analysis methods to include classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and/or validation methods\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Capital


Analytics Engineer Interested Data Science Finance

Analytics Engineer Interested Data Science Finance


Capital


finance

data science

stats

engineer

finance

data science

stats

engineer


👁 3,957 viewed | ✍️ 61 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
\nWho we are\n\nWe are a team of passionate and intellectually diverse individuals, who are building financial services that help companies grow to their fullest potential. We believe that fast, fair, and equitable access to financial intelligence can level the playing field for high performing and high potential companies at any stage in their financing.\n\nThe Capital Machine is a systematic financial analysis tool that functions like Bloomberg, but for private companies. Private companies connect their data to the machine and receive financing offers within hours from Capital’s balance sheet. On the back-end, the machine analyzes and benchmarks company data, facilitating data-driven engagement between those who invest capital and those who need it to scale their businesses.\n\nWhat you’ll contribute\n\nAs an Analytics Engineer at Capital, you will work on mission-critical problems related to building robust, scalable data pipelines and productionizing analytics. You understand basic probability theory, applied machine learning, and textual analysis. You’re comfortable writing tested, performant code to migrate ideas from the workbench to production. You love visualization and get excited about making data beautiful and intuitively accessible to end users. At Capital, you’ll develop fluency in the language of capital markets and finance. You are an effective communicator who is excited to build bridges between members of these communities and your own.\n\nWho you are\n\n\n* You have strong foundations in machine learning and probability theory, with demonstrated success working on applied challenges\n\n* You’ve mastered OOP in Python and have experience working on backend systems that are deployed to production environment\n\n* You understand fundamental software engineering concepts such as modularity, separation of concerns, data structures and interfaces, and computational complexity\n\n* You’ve implemented unit and functional testing as part of a continuous integration workflow\n\n* You have a good eye for data visualization and experience with static (e.g. ggplot2, Plotly) and dynamic (e.g. Dash, Bokeh) toolkits\n\n* You have solid written and verbal communication skills, with the ability to bridge the gap between those who do and don’t speak fluent “data”\n\n* You’ve worked with a distributed processing framework, such as spark, hive, or hadoop\n\n* You have experience implementing workflow/scheduling frameworks such as luigi or airflow\n\n* You have experience working on--or are interested in learning about and attacking--hard financial problems\n\n\n\n\nHow you'll be supported at Capital\n\n\n* Unlimited PTO and flexible WFH policy\n\n* Learning stipend to pursue any kind of professional development or continuing education related or not related to your field\n\n* Platinum medical, vision and dental coverage and OneMedical membership for you and your dependents. Includes FSA & HSA options\n\n* Unlimited parental leave plus fertility benefits\n\n* 401k plans and co-investment opportunities so you can be a part of Capital's stellar investment performance\n\n* Stipends for wellness, transportation, and electronics (laptops, headphones, monitors - anything you need to do your best work)\n\n* Stocked office with 24/7 access and custom workstations\n\n* Another request? Just let us know!\n\n\n

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LiteracyPro Systems


Senior Data Analyst

Senior Data Analyst


LiteracyPro Systems


analyst

data science

senior

analyst

data science

senior


👁 2,069 viewed | ✍️ 190 applied (9%)
This job post is archived and the position is probably filled. Please do not apply.
\nJob Title: \n\nSenior ETL/Data Analyst (Contractor or Contract-to-Hire Position - we're open to both)\n\n\n\nBrief Job Description:  \n\nLiteracyPro creates software for social good. Our data collection and reporting software helps government and community-based organizations help hundreds of thousands of disadvantaged people improve their opportunities to get jobs with sustainable, living wages for themselves and their families. Enjoy being part of a fun group of bright, passionate folks, in a great working environment, with generous salary & benefits while helping those who help others.\n\nOur newest product, CommunityPro Suite (CPS), is a growing SaaS case management, referral, reporting and analysis enterprise application that enables hundreds of agencies to securely match, consolidate and share data in real time. The purpose of the software is to reduce organizational friction by helping local agencies better collaborate to help people achieve economic self-sufficiency for themselves and their families. The end-goal of CPS is to play an important role in helping to create healthy, vibrant communities in this country and the world.\n\nOur Company is experiencing explosive growth due to increasing national demand for our software, and we’re looking for that rare, accomplished data analyst who wants to do good, get paid well and have fun doing it. We’re seeking someone with an energizing leadership style, and who has the smarts, passion and people skills to guide our efforts on all aspects of the data management process, including: on-boarding; acquisition; attribution; transformation; and reporting of newly acquired data sets to provide high-quality data supporting analytics and our clients’ needs in a timely fashion.\n\nGiven the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles.\n\n\nResponsibilities:\n\nThis position has the primary responsibility for the acquisition, transformation, and maintenance of data for our primary SAAS application. This data is interchanged from and returned to an increasingly diverse set of third-party source systems.\n\n\n* Conduct in-depth data profiling and data quality assessments of data received from multiple source systems to determine the current level of data accuracy, conformation to standards, reporting requirements, etc.\n\n* Investigate data flow issues by discovering system states that prevent successful job completion (source systems, infrastructure, etc.).\n\n* Identify and analyze the errors/inconsistencies in the data; provide timely resolutions for data lineage and data cleansing.\n\n* Build and validate a data quality framework with alerts for data discrepancies.\n\n* Work with the product owner/system owner, development, and QA teams to ensure alignment and proper interpretation of complex data requirements.\n\n* Develop technical documentation, including requirements documents, process overviews, data models, data flow, and ETL jobs.\n\n\n\n\nExperience and Qualifications:\n\n\n* 6+ years performing analysis and building data processes.\n\n* 6+ years of experience with ETL tasks such as reviewing business requirements, developing and troubleshooting data cleansing and loading solutions, preparing solution documentation, data dictionaries, metadata repositories, and database security.\n\n* 6+ years of industry experience with the development and implementation of enterprise-level data warehousing and supporting business intelligence initiatives, particularly focused on star schema data modeling.\n\n* 6+ years of experience with database design, including mastery of complex report queries and SQL optimization.\n\n* Experience with MySQL, Amazon Web Services, Microsoft Azure. Experience with Pentaho CE a plus!\n\n* Familiarity with the data security and privacy requirements of FERPA, HIPPA, SOC2 and related industry and legal standards\n\n\n\n\n\n* Degree in Computer Science, Information Systems, Mathematics, or equivalent quantitative field\n\n\n

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Wallethub


Lead Data Scientist Global

verified

Lead Data Scientist Global


Wallethub


exec

data science

exec

data science


👁 662 viewed | ✍️ 1 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* At least 5 years of experience as a Data Scientist.\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours (8am - 7pm ET, including 1 hour break).\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Hotjar


Data Analyst

Data Analyst


Hotjar


analyst

data science

analyst

data science


👁 1,018 viewed | ✍️ 6 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nNote: Although this is a remote position, we are only looking for candidates in timezones between UTC-1 and UTC+3.\n\n\nAt Hotjar we’re on a mission to build the leading user feedback and analytics platform, with our product being used by over 915,000 users in 190 countries. As part of our Business Intelligence team, you will make data-driven recommendations on strategy and keep a finger on the pulse of our business.\n\n\nWe work in an agile and highly collaborative environment, 100% remotely, and challenge the norms of traditional business leadership. Our focus is on true transparency and respect.\n\n\nWe’re looking for someone who loves to turn data into insights and communicate findings fearlessly. You want to help teams make data-informed decisions and take data-informed actions, you have a curious mindset, and you are motivated to understand our business better.\n\n\nYou will: \n\n\n* \n\nIdentify and analyze trends or patterns in complex data sets\n\n\n* \n\nDevelop and implement databases, data collection systems, data analytics and other strategies that improve statistical efficiency and quality\n\n\n* \n\nFilter and “clean” data by reviewing multiple data sources and performance indicators to locate and correct inconsistencies.\n\n\n* \n\nSupport scoping complex data-centric projects across multiple teams and systems, and work on deliverables to promote bias to action\n\n\n* \n\nBuild data models to accelerate the business by providing deeper insights into visitor and customer behaviors, and feed the team’s hunger for actionable insights\n\n\n* \n\nAssist our teams in defining, tracking and optimizing processes, tools, and dashboards for better planning and management of the business\n\n\n* \n\nHelp analyze the effectiveness of new solutions to inform whether to double down, pivot, or eliminate a new feature or process\n\n\n* \n\nSelect and integrate new technologies to promote better segmentation and attribution\n\n\n\n\n\n\n\nRequirements\n\n\n\n* Experience in analytics/data science or a directly related field – some of which is in a technology environment\n\n* \n\nExperience initiating and delivering applicable analyses/recommendations to guide impact\n\n\n* \n\nExcellent skills with analytics tools, fluency with BI/visualization tools such as Mode, Tableau, etc and knowledge of Excel, R, Python, SQL, or other analysis tools\n\n\n* \n\nAn understanding of SaaS business models and essential metrics\n\n\n* \n\nExperience implementing and integrating an event tracking platform\n\n\n* \n\nCritical-reasoning skills, including the understanding of common pitfalls of data analysis\n\n\n* \n\nA desire to work in a respectful, transparent, and transparent work environment, following Hotjar’s company values, culture and ways of working\n\n\n* \n\nMust submit to a background check confidentially processed by our third-party \n\n\n\n\n\n\nPlus points:\n\n\n* \n\nExperience with building predictive data models to provide deeper insights\n\n\n* \n\nKnowledge of statistics and experience using statistical packages for analyzing datasets\n\n\n\n\n\n\nWhat we offer\n\n\n* \n\nA remote and accomplished diverse and international team\n\n\n* \n\nAn opportunity to positively enhance people’s experience online and make the web a better place\n\n\n* \n\nAnnual learning and development budget\n\n\n* \n\nSeveral perks designed for your well-being and a healthy work-life balance. (Holiday Budget, Wellbeing Allowance, Working Together Budget, 16 weeks paid parental leave, and much more)\n\n\n\n\n\n\nCompensation Range\n\nThe budgeted compensation range for this role is €50,000 to €70,000 annually. Ranges are based on market research and are equitable to other roles within Hotjar. The actual compensation offered will be based on relative experience. At this time we are only able to provide official employment status to those located in Malta, and Germany (for candidates who don’t require visa sponsorship). All other team members will join as full-time consultants and will be responsible for paying any taxes or applicable fees where they reside.

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a mediocre corporation


Data Scientist

Data Scientist


a mediocre corporation


data science

data science


👁 5,388 viewed | ✍️ 409 applied (8%)
This job post is archived and the position is probably filled. Please do not apply.
\nA Mediocre Corporation is looking for extraordinary Data Scientists to work alongside our teams in order to provide analytical support to a variety of projects (for example: email targeting, business optimization, customer recommendations). You’ll be responsible for conducting advanced statistical analysis and working with cross functional teams of technical and non-technical members to help drive innovative business solutions. If this doesn’t sound like the most mediocre job in data science then we’d like to talk to you. But only if you’re an amazing rock star, or a ninja, or a zombie hunter, or whatever term all the cool recruiters are throwing around these days.\n\nYou can expect to conduct statistical analysis of big data sets to identify trends and provide actionable insights. You’ll be asked to measure the performance and results of various data experiments. You’ll also be working with our engineering team to help define and manage our big data infrastructure and to develop new products (including assisting with data architecture and modeling).\n\nYou’ll be expected to research new trends in the industry and utilize up-to-date technology and analytical skills to attack each project. Ideal candidates are those that have experience moving data projects forward by acquiring and converting data into useful formats when necessary.\n\nWe’re looking for someone who has:\n\n\n* Years of experience as a Data Scientist working closely with business stakeholders to give actionable insights.\n\n* Strong coding ability in Python, including experience with various data science libraries such as pandas.\n\n* Experience with a variety of data stores and technologies such as PostgreSQL, MongoDB, and InfluxDB.\n\n* Experience working with large data sets and distributed computing tools.\n\n\n

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Qntfy


Data Scientist

Data Scientist


Qntfy


data science

data science


👁 5,606 viewed | ✍️ 270 applied (5%)
This job post is archived and the position is probably filled. Please do not apply.
\nApply Here\n\nQntfy is looking for an experienced and motivated data scientist to join our research and development team. Qntfy is a small (but growing) company offering a diverse array of products and services. As a result, data scientists at Qntfy tend to wear a greater number of hats than they might at larger organizations. This can range from occasionally interfacing directly with customers in a consultative role to preparing papers and presentations for academic journals or conferences (see here to get a sense of our recent work). We recognize that “data science” is a broad term, and that highly qualified data scientists come from a wide variety of backgrounds and career trajectories. As such, we do not have a rigid checklist of qualifications, but we do expect successful candidates to be able to demonstrate extensive experience with most of the qualifications below. Similarly, we do not have strict educational requirements for data scientists, but of course advanced degrees in quantitative disciplines (broadly construed) are viewed favorably. Our current team of data scientists have backgrounds in bioengineering, cognitive science, psychology, neuroscience, and chemistry.\n\nU.S. Citizenship Required\n\nResponsibilites\n\n\n\n\n* Prototype machine learning models of natural language and human behavioral data.\n\n* Conduct bespoke analyses using inferential statistics for internal and external clients.\n\n* Work directly with Qntfy engineers to add data science features to our products.\n\n* Communicate with peers, customers, and partners to foster cooperation and development.\n\n* Effectively estimate time to implement designs.\n\n\n\n\n\n\nQualifications\n\n\n\n\n* Common machine learning algorithms and/or advanced inferential statistical techniques.\n\n* Standard Python data science tools (e.g., Pandas, scikit-learn; some of us have a soft spot for R and use it occasionally, but we expect data scientists to largely adhere to a Python-based ecosystem).\n\n* Common flavors of SQL and SQL databases.\n\n* Linux operating systems.\n\n* Analysis of natural language data.\n\n* Analysis of (especially observational) human behavioral data (e.g., survey data, psychological inventories).\n\n* Basic project management tools and processes.\n\n* Communicating the results of quantitative work, orally and in writing, to technical and non-technical audiences.\n\n\n\n\n\n\nPreferred Qualifications\n\n\n\n\n* Experience with deep learning frameworks.\n\n* Experience with technologies from the following list: Kafka, Docker, Mesos, Marathon, Kubernetes, Go.\n\n* Knowledge of, or experience with, behavioral science, psychology, mental health, and/or the healthcare industry.\n\n\n\n\n\n\nQntfy is committed to fostering and supporting a creative and diverse environment. Qntfy is an equal opportunity employer, and as such will consider all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 

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👁 4,616 viewed | ✍️ 209 applied (5%)
This job post is archived and the position is probably filled. Please do not apply.
**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \n\nTo help us better drive data-driven product decisions and strategy, we’re looking for a skilled and curious data analyst. We believe that data-driven decision making is key to our success and your skills, curiosity, and experience will play a crucial role in building the future of outdoor experiences.**\n\n# Responsibilities\n **What will you do**\n* Turn events and data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and discuss findings to different audiences (Co-founders, marketing, product, sales, etc.)\n* Develop approaches to answer key questions with data analytics\n* Consult and mentor our junior data analyst\n* Organize and prioritize tasks of our data analytics roadmap\n* Be an evangelist of data-driven decision-making\n\n**Why you will love it**\n* You’ll be a key player in making product development, marketing, and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll have the liberty to develop data analytics at komoot, technically and organizationally\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides \n\n# Requirements\n**You will be successful in this position if you**\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of experience in evaluating marketing campaigns, cohort analysis, A/B testing and retention\n* Have strong and proven skills in SQL and Pandas\n* Have strong communication skills\n* Have Python and statistical skills\n* Have a good overview of technical solutions in the data analytics field\n* Have a hands-on attitude and are highly self-driven\n\n**Sounds like you?**\nThen send us the following:\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. Dashboards, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Wallethub


Senior Data Scientist

verified

Senior Data Scientist


Wallethub


data science

senior

data science

senior


👁 3,306 viewed | ✍️ 36 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* \n\nSelecting the best financial products for your needs\n\n\n* \n\nTaking the right actions to improve your credit score\n\n\n* \n\nAnticipate your future financial health based on your current financial status and history\n\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* \n\nAt least 8 years experience in Java, Spring and MySQL (or any relational database) and Python.\n\n\n* \n\nAt least 5 years of experience as a Data Scientist.\n\n\n* \n\nExperience with databases (including NoSQL).\n\n\n* \n\nExperience in machine learning frameworks and libraries.\n\n\n* \n\nSupervised and Unsupervised learning.\n\n\n* \n\nMachine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM).\n\n\n* \n\nExperience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).\n\n\n* \n\nComputer Science or Mathematics or Physics degree.\n\n\n* \n\nExcellent communication and analytical skills.\n\n\n* \n\nWillingness to work hard (50 hrs per week).\n\n\n* \n\nVery good English\n\n\n\n\n\nNice to have but not required\n\n\n* \n\nExperience with Apache Spark.\n\n\n* \n\nNatural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).\n\n\n* \n\nR programming language.\n\n\n\n\n\nResponsibilities\n\n\n* \n\nModeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.\n\n\n* \n\nParticipating in the areas of architecture, design, implementation, and testing.\n\n\n* \n\nProposing innovative ways to look at problems by using data mining approaches on the set of information available.\n\n\n* \n\nDesigning experiments, testing hypotheses, and building models.\n\n\n* \n\nConducting advanced data analysis and designing highly complex algorithm.\n\n\n* \n\nApplying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.\n\n\n\n\n\nOur Offer\n\n\n* \n\nVery competitive salary based on prior experience and qualifications.\n\n\n* \n\nPotential for stock options after the first year.\n\n\n* \n\nRaise and advancement opportunities based on periodic evaluations.\n\n\n* \n\nVisa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n\n* \n\nHealth benefits (in case you will be working from our office in Washington DC).\n\n\n\n\n\nNotes \n\n\n* \n\nThis position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n\n* \n\nIf you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n* Candidates with less than 8 yrs of experience will not be considered.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Luna


Senior Data Scientist

Senior Data Scientist


Luna


data science

senior

data science

senior


👁 2,945 viewed | ✍️ 291 applied (10%)
This job post is archived and the position is probably filled. Please do not apply.
\nOverview\n\nLuna is looking for a senior data scientist to help develop data science libraries and pipelines for clients using Luna, a project said by NASA and Singularity University to be 1 of 20 most impressive technologies worldwide. If you bring strong analytical and technical skills, and have a passion for data, this could be the role for you.\n\nAs a Senior Data Scientist at Luna, you'll be instrumental in the design and development of custom solutions and pipelines to help our customers and clients get the results that they need when working with Luna. You'll be able to collaborate with a team of world-class engineers, community managers, and business developers (from Bloomberg, PayPal, and GitHub, amongst others) to make your mark on this project's future.\n\nWhat You'll Do\n\nAs a senior data scientist at Luna, you'll be in charge of developing both libraries and pipelines for customers and the wider community. This will involve:\n\n\n* Working closely with key stakeholders and customers to develop and tailor customised data-analysis toolkits and pipelines to fit their needs.\n\n* Using your experience to inform design choices regarding Luna, especially around its support for data-analysis and machine-learning workflows.\n\n* Working closely with internal teams to ensure that the product evolves to make such uses as simple and easy as possible.\n\n* Contribute to the growth and success of a vibrant open-source project and its greater ecosystem.\n\n\n\n\nThe Skills We're Looking For\n\nWe have a particular set of skills that we're looking for in this role:\n\n\n* 5+ years of practical experience working with data-science pipelines for performing automated analysis, predictive analytics, or machine learning.\n\n* Practical experience with existing data-science toolkits such as Keras and Tensorflow.\n\n* An interest in building new data-science tools and pipelines.\n\n* Practical experience with at least one functional programming language, preferably Haskell. Please note that this does not count languages (such as Python), that enable limited forms of functional programming.\n\n* An interest in working with clients and users to create solutions that fit their needs and enhance their work.\n\n\n\n\nIt would be a big bonus if you also had:\n\n\n* Experience building customized data-science pipelines, tailored to particular tasks.\n\n* Experience in the deployment of data-science solutions.\n\n\n

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Motiion

 

Data Scientist

Data Scientist  


Motiion


data science

data science


👁 5,181 viewed | ✍️ 579 applied (11%)
This job post is archived and the position is probably filled. Please do not apply.
\nMotiion is a technology and data company for the food industry. We believe in transparency, diversity, merit and fostering a culture of accountability, personal impact and career growth.\n\nAs a member of the first product engineering team at Motiion you have will have a unique opportunity to turning previously scattered and inconsistently structured data into directly actionable food industry insights to reduce waste, increase freshness and much more.  \nYou have a proven track record of reading data and making solid conclusions. You know both the art and science of analytics - now only do you know how to find answers in the data, you also know which questions should be asked in the first place and what data might could help us further bolster our conclusions.  You love engaging with customers, learn about their challenges and then dive into the data to see how to solve them!\n\nWe are building a product engineering team with a breadth of combined experiences so that we can collaboratively build great products. There are no hard requirements on specific educational background, technology, experience or geographical location.  We are however looking for specific traits in the people we work with. You might not yet be able to check all of the boxes, but at least you aspire to do so! \n\nSome signs of a great candidate:\n\n\n\n* Toolbox oriented. Whether your background is in mathematics, statistics, machine learning, artificial intelligence, or something else, you have enough experience to intuitively shortlist tools and approaches from most of these disciplines. \n\n* Understanding business and customer needs.  You believe in creating models that will help the company and make short- and long-termimpact, focusing on“bang-for-the-buck”. \n\n* Performance recognized by your peers. Past colleagues would love to work with you again.\n\n* Starter and finisher. You often identify a problem, design a solution and bring it to a state of completion - alone or with collaborators. You’ve worked with developers in the past, hope to continue doing so, but you would get far even without technical help.\n\n* Work hard and smart. Your work ethic is unquestioned, and you know how to get things done so you can balance your work and personal life in a sustainable way.\n\n* Disciplined and reliable. We are a remote company and you enjoy the benefits of working remotely while consistently delivering what you have committed to. When you hit a snag, you communicate and reset expectations early.\n\n* Collaborative. You know that your team members’ perspectives will make your solutions better. Similarly, you use your strengths to make the team perform.\n\n* Appreciation of honest feedback. You know that the best way to learn and grow is through constructive feedback delivered kindly, but without unnecessary ambiguity. You feedback given to as an opportunity to get better and strive to do the same for others.\n\n* Analytical and practical mind. You strive for simple, precise solutions to complex problems. Complex solutions are only acceptable when absolutely needed. \n\n\n\nWhy we are different\nOur main goals with Motiion are easy to explain: We want to build a company that we would like to enjoy spending the rest of our careers in, that has a positive impact on the world and that will outlast us. Achieving these goals will be challenging, but we know we can do it. Here’s why:\n\nA strong founder team\nWe, the founders, have a proven track record of building successful companies from scratch. We will take all of the amazing and painful experiences of the past and apply them to create a company we all will be very proud of.\n\nSelf-funded\nThe founders have invested $10 million to allow us to focus on building technology and product the right way. Our eyes are on the goals of building a global technology platform. We are laser focused on customer needs, but will make product priorities based on our long-term goals, not short-term revenue.\n\nRemote-first\nWe believe technology that enables remote work to be better than a corporate office setting is already here and the world of business is just about to catch up. Remote work certainly comes with drawbacks, but the strongly believe the advantages vastly outnumber the disadvantages. Speaking to dozens of experienced remote employees has shown us that the number one obstacle to building a successful remote workplace is doing it half-way by having some people be co-located and some remote. We want the same mode of collaboration for everyone and our team will be working remotely most of the time.\n\nThis does not mean that you have to work from home all the time, or at all. Motiion will pay for co-working space if that’s what you prefer. We will also encourage team members that live in the same area to meet up and work together when it makes sense. We will also make sure we all meet regularly for real in-person interaction!\n\nPersonal impact of collaborating individuals\nWe have seen first-hand how corporate culture can devolve into empire building and reporting lines. Motiion will have great managers, but we recognize and value the skills of individual contributors. You can grow your career at Motiion doing the work you love and excel at. Your merit matters, not your title.\n\nBenefits\nWe have top notch benefits, matching most of the large US tech companies, including 401k matching, excellent health insurance and a generous vacation policy.

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komoot


Data Analyst

Data Analyst


komoot


analyst

data science

analyst

data science


👁 2,493 viewed | ✍️ 134 applied (5%)
This job post is archived and the position is probably filled. Please do not apply.
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. \nTo help us better drive data-driven product decisions and strategy, we’re looking for a  skilled and curious data analyst who will play a crucial role in building the future of outdoor experiences.\n\nWhat will you do\n\n\n* Turn events and data into actionable insights\n\n* Develop analysis to drive product and business decisions and company strategy\n\n* Design and implement metrics, dashboards, and continuous reports\n\n* Communicate and discuss  findings to different audiences (Co-founders, marketing, product, sales etc.)\n\n* Working closely with teams throughout the company\n\n* Be an evangelist of data-driven decision-making\n\n\n\n\n\n\nWhy you will love it\n\n\n* You’ll be a key player in making product development, marketing and business decisions\n\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n\n* You’ll work with a modern and powerful cloud analytics platform based on AWS\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a burning desire to transform data into actionable insights\n\n* Have 2+ years of relevant experience interpreting data\n\n* Have strong and proven skills in SQL and Pandas\n\n* Have strong communication skills\n\n* Have fundamental Python and statistical skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. Dashboards, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account\n\n\n

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Thrive Global


Team Lead Data Science Data Engineering

Team Lead Data Science Data Engineering


Thrive Global


exec

data science

engineer

exec

data science

engineer


👁 975 viewed | ✍️ 30 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
\nDescription\n\nThrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey. As the Lead of the Data Engineering and Data Science team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering leader with the ability and desire to be both hands-on and lead a team.\n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* A willingness to take on a broad set of responsibilities from working with the product and engineering team to define architecture and infrastructure to supporting our data engineering efforts, building out data pipelines, building and testing models, putting those models into production and refining them as needed. To do this you will need to hire and grow a small team of technologists that complement your skillset and that of the existing team.\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Build a small but skilled team that will leverage data to provide recommendations and nudges to users that encourage them to master positive behavior change.\n\n* Work with the team to design and build out production grade data processing tools and infrastructure. \n\n* Work with the team to define hypotheses, conduct experiments, construct prototypes and build and train models to support the use cases required by our behavior change products. \n\n* Work with the team to put models into production.\n\n* Consider user privacy and security at all times.\n\n\n\n\nDesired Skills\n\n\n* 2+ years experience leading a data engineering, data science, or machine learning team.\n\n* 5+ years of industry experience with data engineering, data science or machine learning.\n\n* Extensive programming experience in Java or Python.\n\n* Experience with AWS SageMaker, TensorFlow, or other cloud frameworks. \n\n* Familiar with various machine learning techniques and libraries.\n\n* BA/BS or MS in Computer Science, or equivalent experience.\n\n* A plus to have working knowledge of Big Data (Hadoop, Cassandra, Spark, Kafka, YARN), real-time and batch processing.\n\n\n\n\nOur Mission\n\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \n\n\n

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eMoney Advisor


Senior Data Scientist

Senior Data Scientist


eMoney Advisor


data science

senior

data science

senior


👁 842 viewed | ✍️ 36 applied (4%)
This job post is archived and the position is probably filled. Please do not apply.
\nWe are looking for a Senior Data Scientist to leverage machine learning across the entire eMoney technology portfolio. You will identify, prototype, and deliver high-impact data driven solutions for our products. You will work with our product and development teams to implement machine learning initiatives, setting data science standards and strategy. This role requires a breadth of technology and communication skills to influence and lead the strategic directions.\n\nJob Responsibilities\n\n\n* Develop key Machine Learning solutions and own the execution pipeline; develop prototypes, implement production models, and work with Product, Ops, and App Development teams to ensure business value is fully realized\n\n* Develop core AI capabilities, e.g., MLAAS, data science architecture, to support machine learning and analytics use cases across all products\n\n* Help set AI and ML strategy across organization, identifying, prioritizing, and capturing high-impact business opportunities for Data Science and AI across entire eMoney portfolio\n\n* Explore new use cases and AI technologies for potential integration into eMoney\n\n* Ensure adoption of ML and Data Scientific approaches, providing guidance and internal consulting to software engineers, business owners, other data scientists\n\n\n\n\nRequirements\n\n\n* 2 years working in a data science role\n\n* 4 years of software development experience\n\n* Master’s degree in related field or equivalent years of related experience\n\n* Experience with a variety of Data Science modeling use cases, including customer retention, marketing, digital analytics, segmentation, propensity modeling, etc.\n\n* Experience with data engineering, including consumption of data from relational and non-relational databases, flat files, etc.\n\n* Experience with integration with multiple internal and external systems\n\n* Experience in working in an agile environment to quickly iterate and deliver features to users\n\n* Experience in fintech strongly preferred \n\n\n\n\nSkills\n\n\n* In depth knowledge of software development technologies and best practices for integration with data science: Python, Flask, Django\n\n* In depth knowledge of machine learning technologies: Spark, scikit-learn, deep learning frameworks (e.g., Tensorflow, PyTorch), computer vision, NLP (e.g., SpaCy, NLTK)\n\n* Strong written and verbal communication skills, ability to work with remote team members in virtual communication channels\n\n* Demonstrated ability to influence, communicate and lead technology and design decisions\n\n* Demonstrated abilities to communicate technology and product needs between product and engineering teams \n\n\n\n\n\neMoney Advisor is the creator of the leading wealth-planning technology for financial professionals and firms, offering the cutting-edge solutions needed to succeed as the regulatory environment shifts, investor expectations change, and the industry landscape becomes increasingly competitive. Not only do our solutions help financial professionals streamline their workflow and add efficiency to their business, they also — more importantly – create an unmatched, interactive client experience that builds trust and strengthens the advisor-client relationship. Though we’re driven to lead through innovation, the defining principle of eMoney’s existence will always remain the same: an unwavering dedication to helping advisors and their clients succeed.

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Wallethub


Sr Data Scientist

verified

Sr Data Scientist


Wallethub


data science

data science


👁 902 viewed | ✍️ 13 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nCompany details\n\nWalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.\n\nThe main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.\n\nMaking the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.\n\nBy designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.\n\nSuch goals include:\n\n\n* Selecting the best financial products for your needs\n\n* Taking the right actions to improve your credit score\n\n* Anticipate your future financial health based on your current financial status and history\n\n\n\n\nWith these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!\n\nRequirements\n\nYou are the ideal candidate for this job if you have:\n\n\n* At least 5 years experience in Java, Spring and MySQL (or any relational database) and Python\n\n* Experience with databases (including NoSQL)\n\n* Experience in machine learning frameworks and libraries\n\n* Supervised and Unsupervised learning\n\n* Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM)\n\n* Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive)\n\n* Computer Science or Mathematics or Physics degree\n\n* Excellent communication and analytical skills\n\n* Willingness to work hard (50 hrs per week)\n\n* Very good English\n\n\n\n\nNice to have but not required\n\n\n* Experience with Apache Spark\n\n* Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization)\n\n* R programming language\n\n\n\n\nResponsibilities\n\n\n* Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques\n\n* Participating in the areas of architecture, design, implementation, and testing\n\n* Proposing innovative ways to look at problems by using data mining approaches on the set of information available\n\n* Designing experiments, testing hypotheses, and building models\n\n* Conducting advanced data analysis and designing highly complex algorithm\n\n* Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems\n\n\n\n\nOur Offer\n\n\n* Very competitive salary based on prior experience and qualifications\n\n* Potential for stock options after the first year\n\n* Raise and advancement opportunities based on periodic evaluations\n\n* Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).\n\n* Health benefits (in case you will be working from our office in Washington DC)\n\n\n\n\nNotes \n\n\n* This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.\n\n* If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.\n\n\n\n\nMore about WalletHub\n\nWalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:\n\n1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.\n\n2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.\n\n3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.\n\nIn addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.\n\nHow to Apply\n\nTo get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Hugo Health


Healthcare Data Analyst Scientist

Healthcare Data Analyst Scientist


Hugo Health


analyst

data science

analyst

data science


👁 2,236 viewed | ✍️ 34 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
\nSUMMARY\n\nHugo is looking for a data scientist with an interest in the development of novel analytic approaches for healthcare data. The individual will work in a team environment to implement and deploy advanced analytic solutions for data integration, harmonization, and healthcare outcomes assessment.\n\nRESPONSIBILITIES\n\n* Model Development\n\n* Work with team to develop machine learning and natural language processing models for healthcare data management tasks\n\n* Develop innovative approaches for the use and analysis of real-world healthcare data\n\n* Implement data processing pipelines within development and production environments\n\n* Engage with customers in the development of analytic approaches for real-world healthcare data\n\n\n\n\n* Data Visualization\n\n* Development of data extracts and visualizations for internal and client-facing use\n\n* Integration of efforts with software development team to deploy analytics to web and/or mobile applications\n\n\n\n\n* Teamwork\n\n* Works closely with Director of Technology and development team to identify and create necessary analytic tools and visualizations\n\n* Creates and maintains regular status reports\n\n* Completes specific task activities as documented in work plans\n\n* Promotes a team atmosphere that is conducive to the overall accomplishment of goals, schedules, and deadlines\n\n* Openly shares information with all team members\n\n\n\n\n* Documentation\n\n* Documents data models and software architecture\n\n* Assists with implementation and deployment plans\n\n\n\n\n\n\nREQUIREMENTS\n\nEDUCATION: Bachelor’s degree or equivalent experience in healthcare, analytics, or software development\n\nEXPERIENCE: One to three years of experience in analytics, software development, or related work. Prior experience in healthcare or related field preferred.\n\nSPECIALSKILLS: Strong background in data analysis with a diverse set of platforms, such as Python. Experience with developing and accessing data from multiple sources, include web-based APIs, databases (SQL and NoSQL), and structured files such as JSON and XML. Knowledge of advanced analytic approaches, including supervised and unsupervised machine learning and natural language processing. Experience with version control and common software development practices required. Prior experience with the development of visual data representations, including matplotlib and/or D3, and their use in web applications preferred.

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👁 2,131 viewed | ✍️ 37 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur Insights & Solutions team is deliberate and self-reflective about the kind of team and culture that we are building, seeking analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data/analytics projects\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL, analytics in Excel and creating presentations in Microsoft Powerpoint and/or Apple Keynote. These skills are an absolute must\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior experience in creating client-facing deliverables and presentations\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*

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👁 1,683 viewed | ✍️ 36 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nOur data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform\n* Play a key role in creating both product- and client-facing analytics\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours\n* Learn from experienced mentors and build your technical and non-technical skill sets\n\n**What we're looking for:**\n* B.S. or M.S. in a quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Familiarity with Lean and Agile philosophies\n* Data storage solutions: Snowflake, HDFS, Neo4j, Elasticsearch\n* Workflow management: Airflow\n\n**Nice to haves:**\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n* We historically favor Python, Kafka, Spark, and MySQL (leveraging SQLAlchemy), but use other tools when appropriate for the job at hand\n\n**Fun facts about the Insights team:**\n* We have access to one of the richest healthcare datasets in the world, with deep information on hundreds of thousands of healthcare professionals and their connections\n* The members of our team bring a diverse set of technical and cultural backgrounds\n* Business decisions at Doximity are driven by our data, analyses, and insights\n* We like to have fun - company outings, team lunches, and happy hours\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunities for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Bark Technologies


VP Of Data Science

VP Of Data Science


Bark Technologies


data science

data science


👁 1,570 viewed | ✍️ 3 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nWhy Bark?\n\nAt Bark, we’re on a mission to keep children safe online, and do so in a way that saves parents time and helps parents build trust with their children. We use cutting-­edge machine­ learning technology to detect issues like cyberbullying, sexting, and signs of depression or suicidal thoughts.\n\nWe’re a multicultural, inclusive team of who consider empathy a core job skill. If this sounds like you, you might be the Data Scientist we’re looking for.\n\nAs a Data Scientist at Bark, you’ll be working on applying state-of-the-art machine learning and natural language processing (NLP) techniques to best detect problematic behaviors online. It’s a very meaningful role in an exciting time of growth for the company, and we hope you’ll consider applying.\n\nWhat You’ll Do\n\nAs a Data Scientist at Bark, you might find yourself:\n\n\n* Integrating new NLP techniques into our machine learning pipeline.\n\n* Tuning state-of-the-art deep neural network architectures (e.g., CNNs, RNNs) using frameworks like Tensorflow to identify problematic behaviors in our large, growing, and unique datasets.\n\n* Deploying new classifiers into production.\n\n* Monitoring and analyzing classifier performance.\n\n* Engineering new data science tools, including tools for interacting with our data warehouse, developing and validating new classifiers, and serving/monitoring prediction API endpoints.\n\n* Sharing new approaches and insights with the rest of our highly-technical team.\n\n\n\n\nTo be successful in this role, you will likely:\n\n\n* Have a Masters or Ph.D. in a quantitative science.\n\n* Perform data munging, analysis, and modeling in Python.\n\n* Have experience training, validating and deploying statistical models.\n\n* Be familiar with fundamental approaches in NLP, including tokenization, embeddings, and topic modeling.\n\n* Regularly use Tensorflow, Keras, scikit-learn, Numpy, and Pandas.\n\n\n\n\nHow We’ll Handle Your Application\n\nInterviewing can be stressful, so here’s what you can expect.\n\nWe’ll post the position and collect potential candidates for a period of time. If selected to continue to the interview process, you can expect:\n\n\n* You’ll meet with the CTO for a brief, 30 minute video chat. They’ll get a sense of what you’re looking for and answer any questions you might have about the role.\n\n* You’ll be given a take­-home exercise to complete at your own pace. A working solution should be manageable with around 4 hours of dedicated effort, or less. You’ll submit your exercise to the team for review.\n\n* Our data scientists will review your project and then schedule an hour to chat with you about your submission, your work experience, and answer any questions you may have.\n\n* You’ll have a 30 minute chat with our CTO to get your feedback on the interview process and let you know about our decision.\n\n\n\n\nThat’s it! The whole process can be completed in as little as two weeks, depending on your availability.\n\nBark is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\nAbout Bark Technologies, Inc.\n\nAt Bark, we’re on a mission to keep children safe online and in real life ­­ at home and at school. We use cutting­-edge machine­ learning technology to detect issues like cyberbullying, sexting, grooming, and signs of depression and suicidal thoughts. Learn more at bark.us.

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

dunnhumby


Data Science Engineers

Data Science Engineers


dunnhumby


data science

data science


👁 1,285 viewed | ✍️ 12 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\n Job Description\n\nThe Pluggable Science team (Customer Engagement & media) at dunnhumby works towards testing and deployment of various Product Science solutions created via R&D. The team works with specialist Product and Engineering teams to aid market-level product deployments, including R&D that might be needed for customization of existing science to aid easier deployment.\n\nThe team’s work profile includes creation of personalization algorithms and running A/B Testing for some of the biggest retailers and CPG companies. These algorithms are used in real-time recommender systems embedded on client websites/apps through dunnhumby products.\n\n\n\nPreferred Qualifications\n\n\n* Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)\n\n* 3+ years of relevant experience Machine Learning/ Statistical Algorithms/ Predictive Modelling – Boosting techniques, Decision Trees, Random Forests, Logistic Regression, Neural Nets, SVM, Clustering Techniques (k-means, DBSCAN, Affinity Propagation, etc), Optimization Techniques – Non Linear Programming, Genetic Algorithm, Gradient Boosting, etc.\n\n\n\n\n\n* Hands-on experience in scripting languages like Python, Apache Spark, Scala, etc. Experience in in Data Structures, Big data handling would be preferred\n\n* Sharp analytical abilities, proven design skills, excellent communication skills\n\n* Experience with software coding practices is a strong plus\n\n* Experience using Linux/UNIX to process large data sets\n\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Customer.io


Data Analyst

Data Analyst


Customer.io


sql

python

data analyst

numbers

sql

python

data analyst

numbers


👁 4,319 viewed | ✍️ 23 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
Hi, I’m Colin, CEO of Customer.io.\n\nCustomer.io is looking for a **Data Analyst** to help our company understand what’s happening in the business through data. You’ll be independent, working outside of any one team so that you’re an unbiased voice exploring our data to answer questions for the rest of the company. \n\nAt Customer.io, data helps inform many decisions, but it’s one factor alongside other things like customer research, our experience, and intuition. You *won’t* find us running experiments to figure out which of 50 shades of blue is the best one for a button color!\n\nYou’ll work alongside 40 people from around the world working each day to help businesses build great experiences and strong relationships with their customers. Over 1100 businesses use Customer.io as a core part of their website or mobile app to send emails, push notifications, SMSes, and more to their audience. The insight you’ll provide will help everyone in our company do their job better and impact the lives of the millions of people downstream who receive messages from our customers. \n\n# Responsibilities\n **As the Data Analyst at Customer.io, you’ll work on projects like:**\n* Helping our Product Team measure usage and uptake of our new Push Notifications feature.\n* Helping our Marketing Team understand how their work doubling our number of monthly trials (nice work Marketing!) is leading to downstream success in creating new, long term customers. \n* Working with the CEO (that’s me) to create dashboards to show our key company metrics that we’ll use to make strategic decisions.\n* Analyzing whether or not a pricing change we’ve made has paid off. \n\n\n\n**How you’ll work at Customer.io**\n\nA good way to think about this role is as a consultant serving multiple internal clients. You’ll be often collaborating with our Leadership, Product, Marketing, and Sales Teams. An effective person will be able to balance multiple internal clients, get to the root of what each person is asking for, and allocate enough time to do the work that delivers insights.\n\nYou’ll build dashboards and reports on top of the data pipeline that you’ll ensure reflects our business as accurately as possible.Don’t worry though, our SRE team keeps the data warehouse healthy, and back end engineers can jump in as needed to help you out.\n\nYou control your schedule and how you do your work, but the majority of our team is in North American time zones and as long as you can have a few hours of overlap each day, we don’t mind where you are.\n \nSince our team is distributed, almost all of our communication is written. Especially in the Data Analyst role, clear writing is critical to educating others about your findings.\n \n\n# Requirements\n**You’ve probably got many of these:**\n* You’re fluent in using SQL to query and transform data.\n* You have experience communicating complex analyses to a non-technical audience\n* An understanding of how to present data for understanding and accuracy\n\n**Bonus, but not required (shout about it in your application if you have experience):**\n* Marketing Technology and/or SaaS Company experience - if you’ve built reports showing CAC to LTV calculations that’s great but you can learn that too.\n* Experience using Python for data analysis\n* You’ve used tools in our stack like: DBT, Mode, Looker, Stitch Data, Amazon Redshift\n\n**Why should you work with Customer.io?**\n\nWork anywhere in the world you want. We want to enable you to do your best work, and this is how we aim to do that:\n\n**Equity**- You'll own a piece of the company that you help create. You’ll be recognized for your\ncontributions by earning equity in the company.\n\n**Big Impact**- Our team is small, but growing quickly. The work you do will materially impact how successful we are as a company.\n\n**Great Tools** - Everyone in the company has an Apple computer and is given a budget for a motorized standing desk, Steelcase Leap office chair, external monitor, and anything else you'd like to get your job done.\n\n**Health Benefits** - We pay 100% of your premiums for you and your family for medical, dental, and vision,. We also cover employee’s short-term disability, long-term disability, and life insurance. \n\n**Paid Parental & Medical Leave** - Including adoption.\n\n**Retreats** - We get our whole company together twice a year. Recent retreats have been in Quebec City, Chicago, and Iceland. \n\n**Vacation**- Rest and recuperation are essential. We offer 4 weeks of paid vacation plus the standard local holidays where you are, and flexibility if you need an extra day here and there.\n\n***Diversity statement***\n\nAt Customer.io, we’re committed to building a diverse environment and encourage applicants from underrepresented groups. We want people with different backgrounds from the team we have today to bring their perspective and thoughtfulness to the work that we do and the culture we foster.\nCome Join Us!\n\n\nP.S. Hey, this is Colin again. My first job in tech was as a product manager when I had next to no experience. Somebody took a chance on me when I felt like a total imposter. I wouldn’t have gotten that opportunity if I never applied. I hope you apply too.\n\n

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Drops


Growth Data Analyst

Growth Data Analyst


Drops


data

analyst

growth hacker

product analytics

data

analyst

growth hacker

product analytics


👁 2,893 viewed | ✍️ 21 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
If you have a soft spot for bootstrapped, profitable companies with a meaningful product, and you want to use your data analyst / growth skills for good, you’ll like this.\n\n\n\n\n\nAbout us:\n\n\n\nDrops’ goal is to turn language learning into a delightful game while ensuring effective learning. Our app is in the Appstore for 3 years, teaches 31 languages, was featured by both the App Store and Play Store multiple times - Editors' Choice on the Play Store - and the company is still run by the founders. We are a small, super-capable remote team mainly spread across Europe. We’re working synchronously, so time zones matter for us. We communicate via Slack, Git and Trello and have a release twice a week. We want to be the no.1 app for vocabulary learning and we are getting there quickly with our current user base of 7 million, a monthly active of >800,000 and an average store rating of 4.7.\n\n\n\nYou can find us here: [http://drops.app.link/](http://drops.app.link/)\n\n\n\n\n\nAbout you:\n\n\n\nYou’ll be responsible for improving the quantity, quality and reliability of the multivariant tests we run.\n\n\n\nYou’re a no-nonsense person, who is comfortable taking ownership of all aspects of our analytics & growth funnel, who has experience in working at a product company, and who can bring us insights, initiatives and execution that will help us grow.\n\n\n\nWe want everyone to see the big picture: this means you already pushed your boundaries outside of the strict data realm, and are knowledgeable about mobile and web growth frameworks, ASO, SEO, best practices regarding retention and monetization.\n\n\n\nWe’re building a small, but super capable team. You’re naturally more interested in the fate of the product & driven to grow professionally, than in managing people.\n\n\n\nWe are looking for a missionary rather than a mercenary.\n\n\n\nWe value clear and honest communication and transparency, it’s the linchpin of our culture and current success and freedom. You will be involved in both high and low level decision making and will be available during European working hours (9AM - 6PM GMT).\n\n\n\nWe offer:\n\n\n\n* An awesomely compact 13 person team\n\n* Educational allowance\n\n* Fittness allowance\n\n* All the perks of remote working\n\n* 30 days of holiday per year (including Christmas and other holidays)\n\n* Quarterly team gathering somewhere in the world\n\n* Stock options from a high-growth, profitable company\n\n# Responsibilities\n You will:\n\n* Work cross functionally with our engineers, designer and marketing teams on opportunities to initiate / manage / analyze the AB tests we’re running across multiple platforms.\n\n* Make sense out of all the data that comes in (mobile, web, iTunes, Play Store, our own users database).\n\n* Gather insights from the existing data we have, and initiate projects to help improve our KPIs.\n\n* Prefer to use a minimal set of simple tools to complex ones. (This is important for us)\n\n* Communicate effectively and often to ensure that the team is aligned.\n\n* Help the engineers structure the events on existing and new platforms & define our KPIs. \n\n# Requirements\nYou have:\n\n* At least 2 years of experience in working in product analytics, managing multivariant tests and their results.\n\n* At least 3 years of experience in using various Analytics / BI tools (from Amplitude to SQL queries)\n\n* Experience driving product growth in the consumer mobile app space.\n\n* Some experience in qualitative testing methodologies. You’re not afraid with engaging with end-users if needed.\n\n* Knowledge about fundamental mobile and web growth mental models\n\n* Project management experience (everyone is managing projects at Drops)\n\n* Strong verbal and written communication skills and the ability to work well cross-functionally.\n\n* (Preferably) experience in all 4 pillars of the growth funnel: Acquisition, Activation, Retention, Monetization

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👁 2,385 viewed | ✍️ 32 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data analytics team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data analysts that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\n**How you’ll make an impact:**\n* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.\n* Show off your coding skills by creating data products from scratch and streamlining/automating existing code.\n* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.\n* Play a key role in creating both product- and client-facing analytics.\n* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.\n* Learn from experienced mentors and build your technical and non-technical skill sets.\n\n**What we’re looking for:**\n* B.S. or M.S. in quantitative field with 2-4 years of experience\n* Decent knowledge of statistics and visualization\n* Fluent in SQL and python. These skills are an absolute must\n* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.)\n* Excellent problem solving skills and a strong attention to detail\n* Ability to manage time well and prioritize incoming tasks from different stakeholders\n* Fast learner; curiosity about and passion for data\n* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus\n* Experience leveraging Apache Spark to perform analyses or process data is a plus\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*

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StayWell


Data Scientist

Data Scientist


StayWell


data science

data science


👁 1,682 viewed | ✍️ 17 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nWe are looking for a Data Scientist who will support our technology, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at creating, consolidating and using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Additionally, the candidate will lead a team of    administrators and analysts to create and streamline data creation, retrieval and reporting goals. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The candidate is also adept at creating corporate wide reporting and analysis using any and all telemetry data available. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\n\nEssential Duties and Responsibilities include the following. Other duties may be assigned.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. \n\n\n* Create and verify integrity of large data sets (data lakes) to centralize management and reporting of data.\n\n* Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.\n\n* Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\n\n* Assess the effectiveness and accuracy of new data sources and data gathering techniques.\n\n* Develop custom data models and algorithms to apply to data sets.\n\n* Coordinate with different functional teams to implement models and monitor outcomes.\n\n* Develop processes and tools to monitor and analyze model performance and data accuracy. Creates and implements vision for the Information Systems team or similar to improve scalability, dependability and flexibility of data management environments.\n\n* Manages data query requests related to Data Management to ensure the team handles these in an effective and efficient manner.\n\n* Builds and maintains strong relationships with business partners, vendors and IT teams.\n\n* Uses the time reporting system; signing and reporting all exception time on a weekly basis. Completes other administrative tasks, such as T&E reporting or similar, in a timely manner.\n\n* Performs responsibilities in a professional manner, meeting the Company’s mission and goals.\n\n\n\n\nQualifications and Experience\n\n\n* 3-5 years’ experience with MySQL and/or PostgreSQL\n\n* 1-3 years’ experience with AWS Redshift ideal\n\n* Experience with AWS RDS, Data Pipeline, Glue, and Quicksight ideal\n\n* Experience with Map/Reduce, Hadoop, Hive, Spark\n\n* Strong problem-solving skills with an emphasis on product development.\n\n* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\n\n* Experience working with and creating data architectures.\n\n* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\n\n* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\n\n* Excellent written and verbal communication skills for coordinating across teams.\n\n* A drive to learn and master new technologies and techniques.\n\n\n\n\nEducation and/or Experience   \n\n4-6 years of experience manipulating data sets, has a Bachelor’s or Master's Statistics, Mathematics, Computer Science or another quantitative field.

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komoot


Data Analyst (m/f)

verified
between UTC -1 and UTC +3

Data Analyst (m/f)


komoot

between UTC -1 and UTC +3

data analyst

analytics

pandas

data science

data analyst

analytics

pandas

data science


👁 2,732 viewed | ✍️ 38 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
Millions of people experience real-life adventures with our apps. We help users all over the world discover the best hiking and biking routes, working to empower everybody to explore more of the great outdoors. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.\n\nTo help us be even better at what we do, we’re looking for a data analyst to help us to drive product decisions and strategy. We believe that data-driven decision making is key to our success and your skills and curiosity will play a crucial role in building the future of outdoor experiences.\n\n**Your key responsibilities**\n* Turn events and data into actionable insights\n* Develop analysis to drive product and business decisions and company strategy\n* Design and implement metrics, dashboards, and continuous reports\n* Communicate and present findings to different audiences\n* Working closely with teams throughout the company\n* Be an evangelist of data-driven decision-making\n\n**Why you will love it**\n* You’ll be a key player in making product development, marketing and business decisions\n* You’ll work closely with komoot’s co-founder and influence the future direction of komoot\n* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love\n* We let you work from wherever you want, be it a beach, the mountains, our headquarters in Potsdam or anywhere else that lies in any time zone between UTC-1 and UTC+3\n* Every day, your work will inspire people to discover more of the great outdoors\n* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year\n\n**You will be successful in this position if you**\n* Have a burning desire to transform data into actionable insights\n* Have 3+ years of relevant experience interpreting data\n* Have strong and proven skills in SQL and Pandas/R\n* Have strong communication skills\n* Have fundamental statistical skills\n* Are keen to keep in touch with the latest advances in your area\n* Have a hands-on attitude and are highly self-driven\n \n**Sounds like you?**\nThen send us the following:\n\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, or your OpenStreetMap profile if you have one\n* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile)\n\n\n#Location\n- between UTC -1 and UTC +3

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Respondent


Data Engineer Data Scientist


🇺🇸 US-only

Data Engineer Data Scientist


Respondent

🇺🇸 US-only

data science

engineer

data science

engineer


👁 1,210 viewed | ✍️ 16 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
\nRespondent is the world’s first marketplace for scheduling research interviews with any target audience, anywhere in the world. We enable companies of all sizes to discover the power of conducting market research interviews with high-quality participants; that’s why more than 2,500 user experience researchers, marketers, product designers and other stakeholders at some of the best companies in the world - like Airbnb, IBM, Salesforce and many more - use Respondent every day.\n\nWork hard, and take responsibility for your own freedom. That's us. Self-motivated, research-focused, and a smart thinker with experience in dealing with backend engineering and data at scale...is that you?\n\n\nYou will be working with the CTO and three other engineers. This role is not a mid-level position. Remote US only\n\nWhat you'll do:\n\n\n* Build scalable backend data applications to support the growing needs of the business\n\n* Build data pipelines that collect, process, and compute business metrics from marketplace activity\n\n* Leverage best practices in continuous integration and delivery.\n\n* Collaborate with other engineers\n\n\n\n\nWhat we're looking for:\n\n\n* Expertise in building data or training pipelines using Spark or Hadoop\n\n* Experience in building production grade API to expose results\n\n* Extensive programming experience in Python/Scala/Java\n\n* A BS or MS in Computer Science or other related technical fields\n\n* At least 3 years experience in production environment\n\n\n\n\nBonus\n\n\n* Experience and interest in ML\n\n\n\n\nJob Conditions:\n\nWork remotely from anywhere\nFlexible schedule and a goal-oriented culture\nCompetitive salary and opportunity to grow with the company\nFun work environment and company culture with an upbeat motivated team\n\nHiring Process\n\nApplicants for this position can expect the hiring process to follow the order below. Please keep in mind that applicants can be declined from the position at any stage of the process.\n\n\n* Qualified applicants receive a few questions to answer\n\n* Selected candidates will be invited to schedule a 30 minute intro call with our CTO\n\n* Next, Candidates will be invited to schedule a behavioral interview with the CEO\n\n* Next, candidates will be invited to schedule a technical interview with our CTO. The technical interview can be split between a technical discussion and a technical test.\n\n* Next, candidates will be invited to review the technical test with our CTO and other software engineers.\n\n* Candidates will then be invited to schedule an additional interview with (CEO, CTO, COO)\n\n* Successful candidates will subsequently be made an offer via email.\n\n* As always, the interviews and screening call will be conducted via a video call.\n\n\n\n\nThis is a full time position - No Contractor\n\nWe are looking for someone who matches our level of joy for the work we do, fits in well with our team, and elevates our game. A sense of humor, a lack of ego, and a desire to do great work is essential.\n\n#Location\n- 🇺🇸 US-only

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👁 1,027 viewed | ✍️ 26 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members. We recently launched a newsfeed which helps physicians navigate the latest practice-changing medical literature, parsing through millions of scientific studies while personalizing content to their patient base and every stage of their medical career. We’re looking for a deep learning expert to help our data science and engineering teams build models in support of the newsfeed, combining metadata from our clinician social graph with text-based features.\n\n**How you’ll make an impact:**\n\n* Apply NLP methods and build deep neural networks to personalize medical content to our clinician members.\n* Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.\n* Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.\n* Provide technical leadership to other data scientists and data engineers working on the newsfeed product.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience building deep neural networks in support of recommendation systems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark).\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n* Experience applying reinforcement learning to industry problems.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.*\n\n \n\n# Requirements\n\nUse apply button

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


👁 1,136 viewed | ✍️ 21 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our data science team is deliberate and self-reflective about the kind of data team and culture that we are building, seeking data scientists and engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nDoximity’s social network has over 70% of US doctors as members and 40M connections among them. We currently are looking for a data scientist to lead a team of other data scientists, data engineers and data analysts with the goal of utilizing this medical graph to better connect and promote discussion among our clinician members.\n\n**How you’ll make an impact:**\n\n* Build link prediction models to recommend colleagues for our members to connect and engage with (the “people you may know” problem) to increase user engagement across Doximity’s platforms.\n* Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.\n* Discover trends and new business opportunities from physician’s medical claims and referral networks.\n* Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.\n\n**What we’re looking for:**\n\n* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.\n* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.\n* Experience applying graph theory, analytics, and processing to industry problems.\n* Solid engineering skills to build scalable solutions and help automate data processing challenges.\n* Desire to provide technical leadership and mentorship to other data team members.\n* Excellent problem-solving skills and ability to connect data science work to product impacts.\n* Fluent in SQL and Python; experience using Apache Spark (pyspark)\n* Experience working with relational and non-relational databases.\n\n**Nice to have:**\n\n* Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


👁 1,030 viewed | ✍️ 45 applied (4%)
This job post is archived and the position is probably filled. Please do not apply.
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare. Our engineering team is deliberate and self-reflective about the kind of team and culture that we are building, seeking engineers that are not only strong in their own aptitudes but care deeply about supporting each other's growth.\n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand. We deploy our applications to production on average 50 times per day and have over 350 private repositories in Github, ranging from forks of gems, our own internal gems as well as auxiliary applications. Check out more on the Doximity engineering blog. \n\n**How you’ll make an impact:**\n\n* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\n**What we’re looking for:**\n\n* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n* Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n* 3+ years of experience using version control, especially Git.\n* Familiarity with Linux and AWS.\n* Deep learning experience preferred.\n* Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n# Requirements\nUse apply button

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Creative Market


Data Scientist Search Discovery

Data Scientist Search Discovery


Creative Market


data science

data science


👁 991 viewed | ✍️ 18 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
\nHelp independent creators make a living doing what they love! Every day, thousands of customers use Creative Market to buy ready-to-use design content (fonts, graphics, templates, website themes, 3d models, etc) directly from top designers around the world. Join the team to help us continue our meteoric growth, and your work will be used by millions of people every month. As a data scientist on our Search & Discovery team, you will collaborate closely with product teams to build out and improve Creative Market’s search and recommendation technology. You'll work directly with our Elasticsearch infrastructure in Amazon AWS and iterate on our machine learning and data science pipelines.

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Scrapinghub


Data Scientist

Data Scientist


Scrapinghub


data science

data science


👁 1,395 viewed | ✍️ 36 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
\nAbout the Job:\n\nWe are looking for experienced individuals who are passionate about data science and enjoy working in a collaborative environment. You will get the chance to work with one of the most advanced and comprehensive web crawling and scraping infrastructures in the world, leveraging massive data sets with cutting edge technology.\n\n\nDue to business requirements, only candidates based in Ireland will be considered.\n\n\n\n\nJob Responsibilities:\n\n\n\n\n* You will apply your data science and engineering skills to create products based on machine learning, analyze large volumes of complex data, model challenging problems, and develop algorithms to solve our internal and client needs.\n\n* You will work and experiment with state-of-the-art web crawling, machine learning and data processing technologies. Some of the problems you’ll be working on include object detection, text classification, named entity recognition, crawling algorithms.\n\n* You will work in collaboration with other data scientists and engineers across Scrapinghub to design and build creative solutions to challenging problems.\n\n* You will work on projects that span the whole organization, including areas such as Product and Professional Services.\n\n\n\n\n\n\n\n\n\n\nJob Requirements:\n\n\n\n\n\n\n* Strong machine learning background (natural language processing, computer vision, deep learning, “classical” methods)\n\n* Hands-on experience in Data Science projects (data preparation, target metrics, model evaluation, validation, etc.)\n\n* Strong software development skills, ideally in python.\n\n* Experience with any of these tools is a plus: pytorch, scikit-learn, tensorflow, pandas, jupyter, spacy, gensim, vowpal wabbit, crfsuite, scrapy, spark, AWS, docker, kafka.\n\n\n\n\n\n\n

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Astrosat


Data Scientist

Data Scientist


Astrosat


data science

data science


👁 1,688 viewed | ✍️ 39 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
\nYou will work on the analysis and visualisation of earth observation data. Our projects focus on environmental problems - such as flood disaster response, tackling illegal deforestation, and peatland protection - and are carried out in collaboration with international partners, including the UK and European Space Agencies, NGOs, and governments across the globe. We need you to help us create products that put the power of earth observation into the hands of our users.\n\nYou will be part of a team of data scientists and work closely with software developers, designers, and business developers. The data team works primarily with Python and its open-source ecosystem of geospatial and data science libraries, free and commercial satellite imagery, and ground observations provided by third-parties.\n\nThis position is for a full-time permanent position at our office located near Edinburgh. The candidate must be eligible to work in the UK.\n\nRequirements:\n\n\n* 1+ years of commercial experience\n\n* Experience in data analysis\n\n* Excellent knowledge of Python\n\n* Excellent knowledge of Python’s data science libraries\n\n* Ability to apply skills to new domains\n\n* Good team player\n\n* Ability to manage own time\n\n* Willingness to travel\n\n\n\n\nGood to have:\n\n\n* Domain knowledge of field within geosciences\n\n* Experience in geospatial data analysis\n\n* Experience with remote sensing techniques\n\n* Experience with OGC standards\n\n* Experience in machine learning\n\n* Experience in web development\n\n* Experience with modern software development practices\n\n* Experience working within a multidisciplinary team\n\n\n\n\nSuccessful applicants will be moved forward to a quick, informal introduction over the phone. They will then be asked to take part in a data analysis and coding test before moving forward to a more formal get together with some of our team.

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PROEMION


Data Scientist

Data Scientist


PROEMION


data science

data science


👁 1,116 viewed | ✍️ 40 applied (4%)
This job post is archived and the position is probably filled. Please do not apply.
\nJoin a well-established (30+ years) telematics company to deliver a new generation of our data processing pipeline and analytics tools.\n\nProemion is at the forefront of the IoT/Telematics revolution and is looking for a Data Scientist (f/m) at the earliest possible date. The position can be at our headquarter in Fulda, Germany or full-time remote.\n\nThe team you will join is mostly remote with members spread across the globe.\n\nRequirements\n\n\n* Bachelors' or Masters' degree in Physics, Math, Computer Science, or Statistics preferred\n\n* Strong Python skills, especially in:\n\n\n\n\nnumby\n\npandas\n\nmatplotlib\n\nstatsmodels\n\nsklearn\n\n\n* You have an excellent understanding of math mainly linear algebra, probability, statistics as well as algorithms from the time series field\n\n* You are highly experienced with tooling like git, github, docker, rundeck, Jenkins, Travis, or Bash\n\n* Possess initiative, creativity, analytical skills, team spirit and the ability to work independently\n\n* You are a real world coding expert\n\n\n\n\nWhat you can expect\n\nWe are working with a massive dataset based on thousands complex construction- and off-road vehicles. Our data covers performance data, geo data and diagnostic event data. There for we have a huge range of use cases to address and can verify them utilizing out close relations with world class vehicle / machine manufacturers. We work with real machines with strong cases.\n\nYour role will mainly include the following tasks:\n\n\n* Time Series forecasting on sensor data:\n\n\n\n\nARIMA, HoldWinters, Linear Regression\n\nCross metric ML models\n\n\n* Anomaly detection in time series data and event data\n\n* Predictive maintenance based on performance data and diagnostic events\n\n* Interfacing with REST APIs\n\n* Feature definition based on many sensor signals\n\n* Gauge the performance and accuracy of forecasts and models\n\n* Development in Python and Java including automated testing\n\n* Automation of the analysis workflows including integrations with other Systems\n\n\n

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Bothouse


Machine Learning/ai Lead

Machine Learning/ai Lead


Bothouse


data science

machine learning

ai

exec

data science

machine learning

ai

exec


👁 1,444 viewed | ✍️ 2 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
‼️ [Machine Learning/AI Lead needed!] ‼️\n--------------------------------------------------------------\n\n🕦 Full-time\n\n🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered)\n\n💰 $50 - $90 an hour\n\n⌛ Duration: 4 - 12 months with the ability to extend\n\n🏁 Start: beginning of August 2018\n\n🇳🇴 2 week-long visit in Oslo at the beginning of the project\n\n👥 4 people with this profile are needed\n\nYet another time we search for extraordinary people to join our nerdy crew! :)\n\nProject for a big retail corporation in Norway (11k employees) with stores across entire Europe. \nYou’ll be working closely with business people (20 years of business experience), IT specialists (SE architects, DevOps, UI/UX people) and also with board members to design and execute digital transformation to replace client’s entire IT infrastructure with an AI-first, data-oriented, modern, future-proof solution. \n\nThe project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. \n\nIf you are looking for an easy next project/job, or quick cash - there are better offers out there.\n\nA rare opportunity to hone not only the technical expertise or English skills, but also business-oriented communication, industry-related, practical business know-how and system design skills. \nWe have people with Google DeepMind on their CVs already involved. \n\nLess experienced folks are also welcome to apply - we need many people.\n\n 👉 Contact: [email protected]

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Apsara LLP


Data Scientist

Data Scientist


Apsara LLP


data science

data science


👁 863 viewed | ✍️ 39 applied (5%)
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\nApsara Capital is the only investment firm in the UK focusing exclusively on the water sector. We are a small team with decades of expertise in business development, company analysis, statistics, and quantitative investment strategies. We are looking for an intellectually curious data scientist with at least 3 years work experience to join our London office and assist us in structuring our database, deepening our analysis of the water industry, and enhance our trading strategy. The candidate's main responsibilities will be to build our data infrastructure, as well as identify, structure, and analyse economic, industrial, and other data. 

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RBW Consulting


Data Scientist

Data Scientist


RBW Consulting


data science

data science


👁 1,028 viewed | ✍️ 29 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
\nJob title\n\n\n\nGlobal Data and Analytics – Data Scientist\n\n\n\n\n\nReports to\n\n\n\nGlobal Data and Analytics – Director / Senior Data Scientist\n\n\n\n\n\nBusiness Group\n\n\n\nStrategy\n\n\n\n\n\nLocation\n\n\n\nAmsterdam, Schiphol-Rijk – The Netherlands or London - UK\n\n\n\n\n\n This vacancy is being managed exclusively by RBW Consulting \n\nJob purpose\n\n Liberty Global is elevating the business intelligence and data asset capability across all business domains and operating countries as a pillar to improve business performance and better predict the business going forward. We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products, improve customer’s experience and create technological advancement within the company . Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems.\n\n Key responsibilities\n\n Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements\n\n\n* Transform large, complex data sets into pragmatic, actionable insights.\n\n* Apply state-of-the-art analytical methods like Machine Learning, Pattern Recognition, Neural Networking, Pattern Recognition, Recommendation algorithms to solve business problems and optimise outcomes.\n\n* Research and develop approaches on how to improve business processes and improve customers’ experience, by using our vast amounts of data.\n\n* Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions.\n\n* Partner with data engineering teams to improve data as an asset of the business.\n\n* Participate in detailed product analysis, customer segmentation, lifetime value analysis, base management, market mix modelling etc to drive insights, targeted strategies and communication.\n\n* Develop internal A/B testing procedures to determine the effectives of different approaches.\n\n* Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.\n\n* Build key data sets to empower operational and exploratory analysis.\n\n* Build and analyse key dashboards and reports.\n\n\n\n\n\n Qualifications\n\n\n\n* The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies)\n\n* 2+ years work experience\n\n* Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive)\n\n* Strong experience in statistical packages including R, Python(sckit-learn, pandas), etc\n\n* Knowledge of mathematical and statistical model, in one or more of the following areas: logistic regression, pattern recognition, Neural Networks, Graph theory, machine learning approaches, optimisation routines, recommendation algorithms, predictive modelling.\n\n* Experience in data presentation tools including D3, bokeh, Tableau, Qlik.\n\n* Experience of using data to drive commercial and actionable insights for the business.\n\n* Preferably, the candidate has experience in statistical models applied to telecommunication and media, such as network optimization and churn modelling\n\n* A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.\n\n* Fluent in both written and spoken English\n\n* Good interpersonal and communication skills\n\n* Team player\n\n\n\n\n\n Working environment\n\n\n\n* A constantly changing, fast moving, dynamic environment\n\n* Flexible working required\n\n* Work in an international and multicultural team\n\n* Some travel through Europe is expected\n\n\n\n\n\n This role is being managed exclusively by RBW Consulting. 

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Hakka Labs


Head of Marketing

verified

Head of Marketing


Hakka Labs


marketing

community

data science

exec

marketing

community

data science

exec


👁 2,126 viewed | ✍️ 28 applied (1%)
This job post is archived and the position is probably filled. Please do not apply.
Hakka Labs is looking for a Head of Marketing to be responsible for all marketing efforts across the Hakka Labs network internationally. Our flagship event is [DataEngConf](http://dataengconf.com), a deeply technical 2-day, multi-track conference at the intersection of data engineering, data science and AI.\n\n**The Role**\n\nThe Head of Marketing will report to our founder, and will work to develop our marketing strategy and continue to grow out our marketing team. You will be responsible for all branding, design, campaign development and execution, and community building aspects of our business. You’ll work with our team to craft our brand message and tell the unique story behind our events and our community.\n\nWe currently use email marketing, technical content (including blog posts, video & podcasts), social media, online community distribution (Hacker News, Reddit, Meetup, etc.) and on- and off-line partnerships to attract users to our events and grow our community. You will recommend adjustments to our current formula, test your own distribution hypotheses and experiments, and invest in the winners for maximum growth. You will design the systems and processes our team will implement to scale marketing, while building out more comprehensive analytics capabilities that drive a deeper understanding of our unit economics.\n\nIt’s an exciting time of growth for our business - we’re now launching events internationally and you’ll be an important part of our global expansion. Our main challenges are growing our core US events (annually in SF and NYC) while expanding to our next key markets of Europe (Barcelona, summer 2018) and Asia (2019).\n\n**Our Team & Approach**\n\nOur team is fully distributed and embraces the remote work lifestyle. You’ll have the freedom to work from your desired location while attending our conferences and building out our community worldwide.\n\nWe also strongly advocate the customer development model of the lean startup approach - our team is constantly exploring and testing ways to bring more value to our users. Our marketing and community building efforts are driven by a close connection to our customers. We use systems and design thinking to come up with new ways to solve challenging problems globally, not simply use the tired, old playbook of basic event marketing techniques.\n\n**Why Work with Us**\n\nWe're a scrappy-but-global-startup (operating a growing cash flow positive business!) that hails from the 500 Startups school of 'distribution hacking.’ We’re building a global community of highly demanded, deeply technical data professionals and academics.\n\nOur network is our prime asset, and our community is made up of data engineers and scientists from every major tech company, as well as many influential startups backed by YC, TechStars 500 Startups and top VCs. DataEngConf sponsors include Facebook, Netflix, LinkedIn, Lyft, Spotify, Microsoft, Cloudera, Heroku, IBM, The New York Times and other great companies.\n\nData technologies are rapidly changing the world, and our community is at the epicenter of the hottest technical advancements and research in machine learning, computer vision, artificial intelligence, neural networks and deep learning. These technologies are literally transforming industries while simultaneously creating new opportunities and defining our future.\n\n**Requirements**\n- 5+ years experience building full-stack marketing organizations\n- Previous marketing experience with a product targeted at software engineers\n- Sharp storytelling & copywriting skills\n- Demonstrable technical content marketing experience\n- Previous startup experience is required\n- Event marketing experience helpful, but not required\n- Previous experience with Hubspot helpful, but not required\n- A demonstrated passion for technology\n- Familiarity with strategies for building technical communities

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EY


Data Scientist Tax

Data Scientist Tax


EY


data science

data science


👁 1,206 viewed | ✍️ 5 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nan den Standorten: München, Stuttgart, Eschborn, Köln, Düsseldorf, Berlin \nAuf Ihre Ziele kommt es an\nSie wollen mit den neuesten Technologien in der Digitalisierung arbeiten? Sie wollen eigenverantwortlich arbeiten und Ihre Ideen umsetzen? Sie wollen in einem großen und erfahrenen, multidisziplinärem und internationalem Team tätig sein, das zugleich Start-up Charakter hat?\nDann sind Sie bei der Big Data und Advanced Analytics Gruppe von EY als Teil von Tax Technology and Transformation genau richtig!\nDas Management-Team hat umfangreiche Erfahrung in der Durchführung von Projekten in verschiedensten Unternehmen, Branchen und Ländern. Sie bringen sich aktiv bei der Entwicklung von innovativen Lösungen ein und belgeiten den Prozess bis hin zur Entscheidungsfindung mit Ihrem Wissen. Auf Basis Ihrer Erfahrung setzen wir Sie zielführend bei der Datenanalyse und Softwareentwicklung mit einem hohen Freiheitsgrad an selbständiger Lösungskompetenz ein.\n\nAufgaben, die Sie voranbringen\nWir bieten ein breites Feld an Themen, von der Softwareentwicklung über Advanced Analytics, bei der Sie State-of-the-Art Algorithmen nutzen, um heraufordernde Fragestellungen zu lösen bis hin zur Implementierung dieser Funktionen in ERP Systemen. Beispiele sind: Entwicklung von Anwendungen zur Überwachung von Geschäftsprozessen in Echtzeit, Datenvisualisierungen mittels Webtechnologien oder VR mit der Oculus Rift, Nutzung neuester Advanced Analytics Technologien und Hochleistungsrechnern sowie Machine-Learning Algorithmen.\nSie betreuen Projekte von der Akquise über die Konzeption und Durchführung bis hin zur Implementierung beim Kunden oder der Integration in unsere EY Cloud.\nSie arbeiten gerne mit Spezialisten aus verschiedenen Disziplinen in einem Team zusammen. Sie fühlen sich bei der Definition von Spezifikationen bis hin zur Implementierung einer hochentwickelten Lösung mit fortschrittlicher Dashboard-Funktionalität wohl. \nSie bringen sich proaktiv im Team ein, präsentieren Ihre selbstentwickelten Lösungen und diskutieren diese konstruktiv. Sie lernen mehr über neueste Technologien und Methoden in unseren regelmäßigen Trainings. Sie definieren mit uns die Zukunft der zu nutzenden Technologien und Analytics-Lösungen für die Service-Line Steuern. Sie präsentieren mit uns Ihre Lösungen vor Mittel- und Top-Management aller Unternehmensgrößen in unserem Showroom in Stuttgart oder beim Mandanten vor Ort.\n \n\n\nIhr Profil, um gemeinsam etwas zu bewegen\nSie haben ein abgeschlossenes Studium als Bachelor oder Master in einem MINT-Fach (z.B. Informatik, Statistik, Physik, Mathematik, Wirtschaftsinformatik) oder können uns auf anderer Weise Ihre Data Science Fähigkeiten darlegen (z.B. Kaggle, Github). Sie haben eine favorisierte Programmiersprache (z.B. Python, R, Java, Matlab) und kennen sich mit Cloud Computing Plattformen wie Azure und Datenbanken wie SQL, MongoDB oder Graph-Datenbanken aus. UNIX, Hadoop oder Docker sind Ihnen bekannte Konzepte. Sie haben ein grundsätzliches Verständnis über die Entwicklung von Webanwendungen und kennen sich mit HTML, CSS und JavaScript aus. Sie haben erste Erfahrungen mit Geschäftsprozessen eines Unternehmens gemacht, wobei ERP (z.B. SAP ERP oder S/4 HANA) und Steuer-Wissen ein weiterer Pluspunkt sind.\n\nMehr Möglichkeiten für Ihre Entwicklung\nHochfliegende Pläne? Halten Sie an ihnen fest und verwirklichen Sie Ihre Ziele mit uns! Gestalten Sie Ihre Karriere bei EY: In einer Kultur, die Vielfalt und Weiterbildung fördert. In einem Umfeld, das Enthusiasmus belohnt und die Balance zwischen Beruf und Freizeit schafft.\n\n\nWir freuen uns auf Ihre Bewerbung\nMachen Sie jetzt den nächsten Schritt: Bewerben Sie sich für diese Position online über unser Jobportal! Unser Recruitment-Center beantwortet gerne Ihre Fragen unter Telefon +49 6196 996 10005.

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Thinkful


Data Scientist Residence

Data Scientist Residence


Thinkful


data science

data science


👁 1,207 viewed | ✍️ 2 applied (0%)
This job post is archived and the position is probably filled. Please do not apply.
\nThis year, we have an exciting road ahead through the combined data collected from cohorts of students, feedback from our pool of mentors and the continued analysis of the shape of the opportunities that our graduates fill. As the Data Scientist in Residence, you will guide our education team through the ever-changing landscape of the industry, help with defining our roadmap of investments to make, explore areas of research to pursue and propose curriculum partnerships to establish. \n\nThis position reports to the Head of Programs. Given the varied responsibilities that this role may be involved with, your background should include a broad understanding of current trends and data science, industry leadership, data science management or student education; these will all be equally applicable and lend themselves well to the needs of our student body. This position works closely with the Head of Programs, Head of Curriculum and their respective teams to shape the direction of our existing and future programs and consults with the career services team to continually adjust the evaluation guidelines so that they align with future job markets and company needs.\n\nThinkful’s headquarters is in Brooklyn, New York, but we are an incredibly remote-friendly company. Only ¼ of our employees work in the main office, with the rest of the team in a normal distribution across the US, supported by our mentor network and student body across the globe. Ideally, you want to work in Brooklyn or San Francisco, but can be successful in this role from anywhere in the world.\n\n\nRequirements\n\nIndustry Experience and Domain Expertise\n\n\n* Has a deep appreciation of the shape of the Data Science industry, and the constantly changing facets therein\n\n* Demonstrates broad industry experience in a number of areas of technical interest, from languages like Python and R, to distributed systems with Kafka and Spark, to machine learning with Tensorflow or PyTorch\n\n* Enjoys keeping up with industry trends, attending conferences and participating in meetups on subjects as varied as statistical modeling, computer vision, machine learning and natural language processing\n\n\n\n\nLeadership, Mentorship and Sponsorship\n\n\n* Can evaluate prospective student’s previous experience and interests to help create a healthy, engaged and successful student body\n\n* Can design evaluation guidelines for both students’ learning objectives and career outcomes, as well as leading mentor alignment to the criteria that the guidelines establish\n\n* Has an opinion on the facets of a successful Data Science curriculum, what is required versus optional, and what new units and specializations should be added\n\n* Can help the curriculum team evaluate and incorporate student feedback, including issue triage, clarification requests and example building\n\n\n\n\n\nNice to Haves\n\n\n* Has experience teaching or leading training, either in an academic, professional or similar environment\n\n* Has been involved with mentoring direct employees, peer groups or organizations within a matrixed environment\n\n* Is interested in the public advocacy of Data Science and has participated in community events\n\n* Has an appreciation for the narratives that the application of Data Science can create, wants to contribute to pieces like what we’ve created for helping animal adoption or our piece on The Oscars, and can distill them into a presentation for events\n\n* Is comfortable speaking in front of an audience of 10-50 people, either in person or via the web\n\n\n\n\n\n* Understands how to succeed in a non-hierarchical, influence-based management organization, working with peer departments in curriculum development, student success and marketing\n\n\n\n\n\nApply\n\nPlease submit your resume and cover letter via our platform to apply for this role. 

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hatch IT


Data Analyst

Data Analyst


hatch IT


analyst

data science

analyst

data science


👁 1,074 viewed | ✍️ 19 applied (2%)
This job post is archived and the position is probably filled. Please do not apply.
\nHatch is currently working with a series B healthcare IT startup to help them find a BI/Data Analyst to work on their growing Analytics team. Aledade has been around for just over 3 years and they work to provide everything a doctor needs to create and run an accountable care organization (ACO) - from business practice transformation services to upfront capital and cutting-edge technology platform. In this role, you will be executing analysis/reporting projects from start to finish with the goal of identifying opportunities for improving population health, monitoring key performance indicators, and assessing impact of their population health initiatives. An ideal candidate will have advanced data management/manipulation skills, including a strong foundation in SQL programming  The organization is based in Bethesda, Maryland but the majority of the IT department works remotely throughout the country. \n\nDoes this describe you?.\n\n\n* Experience building data products in Tableau\n\n* Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, health informatics, health care analytics or related field\n\n* Strong knowledge of SQL, understanding of database and field types, ability to write SQL queries\n\n* Thrive in the fast-moving, hard-charging environment of an early-stage startup\n\n* Ability to work remotely in an efficient and self-sufficient manner\n\n\n\n\nIf you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us!!\n \nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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FinancialForce.com


Senior Data Scientist

Senior Data Scientist


FinancialForce.com


data science

senior

data science

senior


👁 739 viewed | ✍️ 20 applied (3%)
This job post is archived and the position is probably filled. Please do not apply.
\nTHE ROLE \n\nDesign and development of models from analytics built on customers' user behaviour data FinancialForce and 3rd party data to deliver the highest possible quality functionality that will enable our customers to be successful. Ranging a focus on delivery of general users' analytics to high-end analytics and modelling responsibility across broader functions of our products.  \n\nUsing a range of Analytical & Data Modelling, and Data Science techniques, including supervised and unsupervised machine learning, clustering, decision trees, predictive analytics, naive bayes, markov chain, survival analysis, neural net, deep learning and AI using tools such as SAS, SPSS, R, Python, Weka and KNIME, and be able to deploy models in a statistically robust way to measure impact.\n\nWill be able to visualise Analytics and Modelling in a way which enables broad user understanding.\n\nRESPONSIBILITIES\n\n\n* Provides Analytics & Modelling strategy to a variety of Product stakeholders internally, and externally Influencers and Investors.\n\n* Supports stakeholders with the provision of data products, and can confidently talk through their data products and the potential opportunities which their research & analytics has demonstrated.\n\n* Conduct deep, and complex data analysis, and use to drive delivery of data rich highly-usable  products which demonstrate findings to stakeholders.\n\n* Put across reasoned arguments for where there is an opportunity for value add, and ROI.\n\n* Spot potential opportunities in the market and advise their management team of the impact of these.\n\n* Provides suggested methodologies, research techniques and data science proposals, whilst supporting less experienced members of the team through their Analytics responsibilities.\n\n* Provides in depth quantitative and qualitative data which can be productised, providing evidence which is needed to form strategy and support strategic decisions.\n\n\n\n\nESSENTIAL SKILLS/QUALIFICATIONS\n\n\n* Extensive and deep understanding of Analytics and Modelling with a Bachelor’s degree (or equivalent)  or lesser experience and a Master’s degree (or equivalent); or a directly relevant PhD (or equivalent)  without experience..\n\n* Expert competency with enterprise Analytics and modelling software tooling and methodologies eg SAS, SPSS, R, Python, Weka and KNIME\n\n* Strong knowledge and applied expertise of best-practices.\n\n* Experience of running multiple, large programmes of work from inception to completion\n\n* Proven track record of influencing and inspiring cross-functional peers and senior leaders by generating and implementing new ideas\n\n\n\n\nIn Scrum Master role\n\n\n* Is a Certified Scrum master\n\n* Has experience of working in an Agile Scrum environment\n\n\n\n\nDESIRABLE SKILLS/QUALIFICATIONS\n\n\n* Experience of coordinating and leading other colleagues.\n\n* Courseware in management, project management, agile, communication and personal effectiveness.\n\n* Agile experience\n\n* Salesforce experience\n\n\n

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