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190 Remote Data Science Jobs at companies like Drops, Staywell and Komoot last posted 18 hours ago. The median salary for Data Science jobs while working remotely is $88,750 as of October 2018.

190 Remote Data Science Jobs at companies like Drops, Staywell and Komoot last posted 18 hours ago. The median salary for Data Science jobs while working remotely is $88,750 as of October 2018.

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Today


Drops

Growth Data Analyst


Drops


data

analyst

growth hacker

product analytics

data

analyst

growth hacker

product analytics

18h

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.{linebreak}{linebreak}{linebreak}About us:{linebreak}{linebreak}Drops’ 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.{linebreak}{linebreak}You can find us here: [http://drops.app.link/](http://drops.app.link/){linebreak}{linebreak}{linebreak}About you:{linebreak}{linebreak}You’ll be responsible for improving the quantity, quality and reliability of the multivariant tests we run.{linebreak}{linebreak}You’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.{linebreak}{linebreak}We 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.{linebreak}{linebreak}We’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.{linebreak}{linebreak}We are looking for a missionary rather than a mercenary.{linebreak}{linebreak}We 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).{linebreak}{linebreak}We offer:{linebreak}{linebreak}* An awesomely compact 13 person team{linebreak}* Educational allowance{linebreak}* Fittness allowance{linebreak}* All the perks of remote working{linebreak}* 30 days of holiday per year (including Christmas and other holidays){linebreak}* Quarterly team gathering somewhere in the world{linebreak}* Stock options from a high-growth, profitable company{linebreak}{linebreak}# Responsibilities{linebreak} You will:{linebreak}* 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.{linebreak}* Make sense out of all the data that comes in (mobile, web, iTunes, Play Store, our own users database).{linebreak}* Gather insights from the existing data we have, and initiate projects to help improve our KPIs.{linebreak}* Prefer to use a minimal set of simple tools to complex ones. (This is important for us){linebreak}* Communicate effectively and often to ensure that the team is aligned.{linebreak}* Help the engineers structure the events on existing and new platforms & define our KPIs. {linebreak}{linebreak}# Requirements{linebreak}You have:{linebreak}* At least 2 years of experience in working in product analytics, managing multivariant tests and their results.{linebreak}* At least 3 years of experience in using various Analytics / BI tools (from Amplitude to SQL queries){linebreak}* Experience driving product growth in the consumer mobile app space.{linebreak}* Some experience in qualitative testing methodologies. You’re not afraid with engaging with end-users if needed.{linebreak}* Knowledge about fundamental mobile and web growth mental models{linebreak}* Project management experience (everyone is managing projects at Drops){linebreak}* Strong verbal and written communication skills and the ability to work well cross-functionally.{linebreak}* (Preferably) experience in all 4 pillars of the growth funnel: Acquisition, Activation, Retention, Monetization

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This month


Staywell

Data Scientist


Staywell


data science

data science

18d

Apply

{linebreak}We 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.{linebreak}{linebreak}Essential 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. {linebreak}{linebreak}{linebreak}* Create and verify integrity of large data sets (data lakes) to centralize management and reporting of data.{linebreak}{linebreak}* Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.{linebreak}{linebreak}* Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.{linebreak}{linebreak}* Assess the effectiveness and accuracy of new data sources and data gathering techniques.{linebreak}{linebreak}* Develop custom data models and algorithms to apply to data sets.{linebreak}{linebreak}* Coordinate with different functional teams to implement models and monitor outcomes.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Manages data query requests related to Data Management to ensure the team handles these in an effective and efficient manner.{linebreak}{linebreak}* Builds and maintains strong relationships with business partners, vendors and IT teams.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Performs responsibilities in a professional manner, meeting the Company’s mission and goals.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications and Experience{linebreak}{linebreak}{linebreak}* 3-5 years’ experience with MySQL and/or PostgreSQL{linebreak}{linebreak}* 1-3 years’ experience with AWS Redshift ideal{linebreak}{linebreak}* Experience with AWS RDS, Data Pipeline, Glue, and Quicksight ideal{linebreak}{linebreak}* Experience with Map/Reduce, Hadoop, Hive, Spark{linebreak}{linebreak}* Strong problem-solving skills with an emphasis on product development.{linebreak}{linebreak}* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.{linebreak}{linebreak}* Experience working with and creating data architectures.{linebreak}{linebreak}* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.{linebreak}{linebreak}* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.{linebreak}{linebreak}* Excellent written and verbal communication skills for coordinating across teams.{linebreak}{linebreak}* A drive to learn and master new technologies and techniques.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Education and/or Experience   {linebreak}{linebreak}4-6 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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Last 30 days


Komoot

verified

Data Analyst (m/f)


Komoot


data analyst

analytics

pandas

data science

data analyst

analytics

pandas

data science

between UTC -1 and UTC +31mo

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.{linebreak}{linebreak}To 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.{linebreak}{linebreak}**Your key responsibilities**{linebreak}* Turn events and data into actionable insights{linebreak}* Develop analysis to drive product and business decisions and company strategy{linebreak}* Design and implement metrics, dashboards, and continuous reports{linebreak}* Communicate and present findings to different audiences{linebreak}* Working closely with teams throughout the company{linebreak}* Be an evangelist of data-driven decision-making{linebreak}{linebreak}**Why you will love it**{linebreak}* You’ll be a key player in making product development, marketing and business decisions{linebreak}* You’ll work closely with komoot’s co-founder and influence the future direction of komoot{linebreak}* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift{linebreak}* You’ll work in a fast-paced startup with strongly motivated and talented co-workers{linebreak}* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love{linebreak}* 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{linebreak}* Every day, your work will inspire people to discover more of the great outdoors{linebreak}* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year{linebreak}{linebreak}**You will be successful in this position if you**{linebreak}* Have a burning desire to transform data into actionable insights{linebreak}* Have 3+ years of relevant experience interpreting data{linebreak}* Have strong and proven skills in SQL and Pandas/R{linebreak}* Have strong communication skills{linebreak}* Have fundamental statistical skills{linebreak}* Are keen to keep in touch with the latest advances in your area{linebreak}* Have a hands-on attitude and are highly self-driven{linebreak} {linebreak}**Sounds like you?**{linebreak}Then send us the following:{linebreak}{linebreak}* Your CV{linebreak}* A write-up explaining who you are and why you are interested in working at komoot{linebreak}* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.){linebreak}* 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{linebreak}* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile){linebreak} {linebreak}{linebreak}#Location{linebreak}- between UTC -1 and UTC +3

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# How do you apply? Please apply with a cover letter and resume through our website.
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Komoot

Data Analyst


Komoot


analyst

data science

analyst

data science

1mo

Apply

{linebreak}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.{linebreak}{linebreak}To 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.{linebreak}{linebreak}Your key responsibilities{linebreak}{linebreak}{linebreak}* Turn events and data into actionable insights{linebreak}{linebreak}* Develop analysis to drive product and business decisions and company strategy{linebreak}{linebreak}* Design and implement metrics, dashboards, and continuous reports{linebreak}{linebreak}* Communicate and present findings to different audiences{linebreak}{linebreak}* Working closely with teams throughout the company{linebreak}{linebreak}* Be an evangelist of data-driven decision-making{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Why you will love it{linebreak}{linebreak}{linebreak}* You’ll be a key player in making product development, marketing and business decisions{linebreak}{linebreak}* You’ll work closely with komoot’s co-founder and influence the future direction of komoot{linebreak}{linebreak}* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift{linebreak}{linebreak}* You’ll work in a fast-paced startup with strongly motivated and talented co-workers{linebreak}{linebreak}* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love{linebreak}{linebreak}* 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{linebreak}{linebreak}* Every day, your work will inspire people to discover more of the great outdoors{linebreak}{linebreak}* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}You will be successful in this position if you{linebreak}{linebreak}{linebreak}* Have a burning desire to transform data into actionable insights{linebreak}{linebreak}* Have 3+ years of relevant experience interpreting data{linebreak}{linebreak}* Have strong and proven skills in SQL and Pandas/R{linebreak}{linebreak}* Have strong communication skills{linebreak}{linebreak}* Have fundamental statistical skills{linebreak}{linebreak}* Are keen to keep in touch with the latest advances in your area{linebreak}{linebreak}* Have a hands-on attitude and are highly self-driven{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Sounds like you?{linebreak}{linebreak}Then send us the following:{linebreak}{linebreak}{linebreak}* Your CV{linebreak}{linebreak}* A write-up explaining who you are and why you are interested in working at komoot{linebreak}{linebreak}* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.){linebreak}{linebreak}* 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{linebreak}{linebreak}* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile){linebreak}{linebreak}{linebreak}

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We 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.{linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.{linebreak}* Show off your coding skills by creating data products from scratch and streamlining/automating existing code.{linebreak}* Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.{linebreak}* Play a key role in creating both product- and client-facing analytics.{linebreak}* Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.{linebreak}* Learn from experienced mentors and build your technical and non-technical skill sets.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* B.S. or M.S. in quantitative field with 2-4 years of experience{linebreak}* Decent knowledge of statistics and visualization{linebreak}* Fluent in SQL and python. These skills are an absolute must{linebreak}* Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.){linebreak}* Excellent problem solving skills and a strong attention to detail{linebreak}* Ability to manage time well and prioritize incoming tasks from different stakeholders{linebreak}* Fast learner; curiosity about and passion for data{linebreak}* Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus{linebreak}* Experience leveraging Apache Spark to perform analyses or process data is a plus{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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!{linebreak}{linebreak}*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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Respondent

Data Engineer Data Scientist


Respondent


data science

engineer

data science

engineer

2mo

Apply

{linebreak}Respondent 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.{linebreak}{linebreak}Work 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?{linebreak}{linebreak}{linebreak}You will be working with the CTO and three other engineers. This role is not a mid-level position. Remote US only{linebreak}{linebreak}What you'll do:{linebreak}{linebreak}{linebreak}* Build scalable backend data applications to support the growing needs of the business{linebreak}{linebreak}* Build data pipelines that collect, process, and compute business metrics from marketplace activity{linebreak}{linebreak}* Leverage best practices in continuous integration and delivery.{linebreak}{linebreak}* Collaborate with other engineers{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What we're looking for:{linebreak}{linebreak}{linebreak}* Expertise in building data or training pipelines using Spark or Hadoop{linebreak}{linebreak}* Experience in building production grade API to expose results{linebreak}{linebreak}* Extensive programming experience in Python/Scala/Java{linebreak}{linebreak}* A BS or MS in Computer Science or other related technical fields{linebreak}{linebreak}* At least 3 years experience in production environment{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus{linebreak}{linebreak}{linebreak}* Experience and interest in ML{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Job Conditions:{linebreak}{linebreak}Work remotely from anywhere{linebreak}Flexible schedule and a goal-oriented culture{linebreak}Competitive salary and opportunity to grow with the company{linebreak}Fun work environment and company culture with an upbeat motivated team{linebreak}{linebreak}Hiring Process{linebreak}{linebreak}Applicants 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.{linebreak}{linebreak}{linebreak}* Qualified applicants receive a few questions to answer{linebreak}{linebreak}* Selected candidates will be invited to schedule a 30 minute intro call with our CTO{linebreak}{linebreak}* Next, Candidates will be invited to schedule a behavioral interview with the CEO{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Next, candidates will be invited to review the technical test with our CTO and other software engineers.{linebreak}{linebreak}* Candidates will then be invited to schedule an additional interview with (CEO, CTO, COO){linebreak}{linebreak}* Successful candidates will subsequently be made an offer via email.{linebreak}{linebreak}* As always, the interviews and screening call will be conducted via a video call.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}This is a full time position - No Contractor{linebreak}{linebreak}We 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.

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This year

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We 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.{linebreak}{linebreak}Doximity’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.{linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Apply NLP methods and build deep neural networks to personalize medical content to our clinician members.{linebreak}* Optimize the layout of different content types (e.g., journal articles, news articles, video, social updates) within the newsfeed.{linebreak}* Collaborate with data engineers to devise plans to refresh the newsfeed and surface optimized content to users near real-time.{linebreak}* Provide technical leadership to other data scientists and data engineers working on the newsfeed product.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.{linebreak}* Experience building deep neural networks in support of recommendation systems.{linebreak}* Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}* Desire to provide technical leadership and mentorship to other data team members.{linebreak}* Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).{linebreak}* Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}* Fluent in SQL and Python; experience using Apache Spark (pyspark).{linebreak}* Experience working with relational and non-relational databases.{linebreak}{linebreak}**Nice to have:**{linebreak}* Experience applying reinforcement learning to industry problems.{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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!{linebreak}{linebreak}*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.*{linebreak}{linebreak} {linebreak}{linebreak}# Requirements{linebreak}{linebreak}Use apply button

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We 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.{linebreak}{linebreak}Doximity’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.{linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* 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.{linebreak}* Leverage data from Doximity’s social graph to improve the user personalization models that recommend medical and social content to our clinician members.{linebreak}* Discover trends and new business opportunities from physician’s medical claims and referral networks.{linebreak}* Provide technical leadership to other data scientists and data engineers working on our growth and colleaguing product teams.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}* 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods) and parameters that affect their performance.{linebreak}* Experience applying graph theory, analytics, and processing to industry problems.{linebreak}* Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}* Desire to provide technical leadership and mentorship to other data team members.{linebreak}* Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}* Fluent in SQL and Python; experience using Apache Spark (pyspark){linebreak}* Experience working with relational and non-relational databases.{linebreak}{linebreak}**Nice to have:**{linebreak}{linebreak}* Experience with neo4j and either Spark GraphX or GraphFrames for performing graph analytics{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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!{linebreak}{linebreak}*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.* {linebreak}{linebreak}# Requirements{linebreak}Use apply button

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We 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.{linebreak}{linebreak}Our 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. {linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.{linebreak}* Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.{linebreak}* Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.{linebreak}* Improve the accuracy, runtime, scalability and reliability of machine intelligence systems{linebreak}* Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* 5+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.{linebreak}* 3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.{linebreak}* Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.{linebreak}* Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.{linebreak}* Solid understanding of the foundational concepts of machine learning and artificial intelligence.{linebreak}* A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.{linebreak}* 3+ years of experience using version control, especially Git.{linebreak}* Familiarity with Linux and AWS.{linebreak}* Deep learning experience preferred.{linebreak}* Work experience with REST APIs, deploying microservices, and Docker is a plus.{linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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!{linebreak}{linebreak}*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.* {linebreak}{linebreak}# Requirements{linebreak}Use apply button

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Creative Market

Data Scientist Search Discovery


Creative Market


data science

data science

2mo

Apply

{linebreak}Help 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


Scrapinghub


data science

data science

3mo

Apply

{linebreak}About the Job:{linebreak}{linebreak}We 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.{linebreak}{linebreak}{linebreak}Due to business requirements, only candidates based in Ireland will be considered.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Job Responsibilities:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* 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.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* You will work in collaboration with other data scientists and engineers across Scrapinghub to design and build creative solutions to challenging problems.{linebreak}{linebreak}* You will work on projects that span the whole organization, including areas such as Product and Professional Services.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Job Requirements:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Strong machine learning background (natural language processing, computer vision, deep learning, “classical” methods){linebreak}{linebreak}* Hands-on experience in Data Science projects (data preparation, target metrics, model evaluation, validation, etc.){linebreak}{linebreak}* Strong software development skills, ideally in python.{linebreak}{linebreak}* 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.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}

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Astrosat

Data Scientist


Astrosat


data science

data science

3mo

Apply

{linebreak}You 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.{linebreak}{linebreak}You 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.{linebreak}{linebreak}This position is for a full-time permanent position at our office located near Edinburgh. The candidate must be eligible to work in the UK.{linebreak}{linebreak}Requirements:{linebreak}{linebreak}{linebreak}* 1+ years of commercial experience{linebreak}{linebreak}* Experience in data analysis{linebreak}{linebreak}* Excellent knowledge of Python{linebreak}{linebreak}* Excellent knowledge of Python’s data science libraries{linebreak}{linebreak}* Ability to apply skills to new domains{linebreak}{linebreak}* Good team player{linebreak}{linebreak}* Ability to manage own time{linebreak}{linebreak}* Willingness to travel{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Good to have:{linebreak}{linebreak}{linebreak}* Domain knowledge of field within geosciences{linebreak}{linebreak}* Experience in geospatial data analysis{linebreak}{linebreak}* Experience with remote sensing techniques{linebreak}{linebreak}* Experience with OGC standards{linebreak}{linebreak}* Experience in machine learning{linebreak}{linebreak}* Experience in web development{linebreak}{linebreak}* Experience with modern software development practices{linebreak}{linebreak}* Experience working within a multidisciplinary team{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Successful 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


Proemion


data science

data science

4mo

Apply

{linebreak}Join a well-established (30+ years) telematics company to deliver a new generation of our data processing pipeline and analytics tools.{linebreak}{linebreak}Proemion 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.{linebreak}{linebreak}The team you will join is mostly remote with members spread across the globe.{linebreak}{linebreak}Requirements{linebreak}{linebreak}{linebreak}* Bachelors' or Masters' degree in Physics, Math, Computer Science, or Statistics preferred{linebreak}{linebreak}* Strong Python skills, especially in:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}numby{linebreak}{linebreak}pandas{linebreak}{linebreak}matplotlib{linebreak}{linebreak}statsmodels{linebreak}{linebreak}sklearn{linebreak}{linebreak}{linebreak}* You have an excellent understanding of math mainly linear algebra, probability, statistics as well as algorithms from the time series field{linebreak}{linebreak}* You are highly experienced with tooling like git, github, docker, rundeck, Jenkins, Travis, or Bash{linebreak}{linebreak}* Possess initiative, creativity, analytical skills, team spirit and the ability to work independently{linebreak}{linebreak}* You are a real world coding expert{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What you can expect{linebreak}{linebreak}We 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.{linebreak}{linebreak}Your role will mainly include the following tasks:{linebreak}{linebreak}{linebreak}* Time Series forecasting on sensor data:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}ARIMA, HoldWinters, Linear Regression{linebreak}{linebreak}Cross metric ML models{linebreak}{linebreak}{linebreak}* Anomaly detection in time series data and event data{linebreak}{linebreak}* Predictive maintenance based on performance data and diagnostic events{linebreak}{linebreak}* Interfacing with REST APIs{linebreak}{linebreak}* Feature definition based on many sensor signals{linebreak}{linebreak}* Gauge the performance and accuracy of forecasts and models{linebreak}{linebreak}* Development in Python and Java including automated testing{linebreak}{linebreak}* Automation of the analysis workflows including integrations with other Systems{linebreak}{linebreak}{linebreak}

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Bothouse

Machine Learning/ai Lead


Bothouse


data science

machine learning

ai

exec

data science

machine learning

ai

exec

4mo

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‼️ [Machine Learning/AI Lead needed!] ‼️{linebreak}--------------------------------------------------------------{linebreak}{linebreak}🕦 Full-time{linebreak}{linebreak}🌎 Remotely or in our office in Warsaw (Europe), regular flights to Oslo (costs are covered){linebreak}{linebreak}💰 $50 - $90 an hour{linebreak}{linebreak}⌛ Duration: 4 - 12 months with the ability to extend{linebreak}{linebreak}🏁 Start: beginning of August 2018{linebreak}{linebreak}🇳🇴 2 week-long visit in Oslo at the beginning of the project{linebreak}{linebreak}👥 4 people with this profile are needed{linebreak}{linebreak}Yet another time we search for extraordinary people to join our nerdy crew! :){linebreak}{linebreak}Project for a big retail corporation in Norway (11k employees) with stores across entire Europe. {linebreak}You’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. {linebreak}{linebreak}The project involves an above-average degree of machine learning system design, conceptual thinking, algorithmic thinking and communication/brainstorming with business-oriented people/industry specialists. {linebreak}{linebreak}If you are looking for an easy next project/job, or quick cash - there are better offers out there.{linebreak}{linebreak}A 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. {linebreak}We have people with Google DeepMind on their CVs already involved. {linebreak}{linebreak}Less experienced folks are also welcome to apply - we need many people.{linebreak}{linebreak} 👉 Contact: tomasz@potanski.pl

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Apsara LLP

Data Scientist


Apsara LLP


data science

data science

4mo

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{linebreak}Apsara 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


RBW Consulting


data science

data science

4mo

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{linebreak}Job title{linebreak}{linebreak}{linebreak}{linebreak}Global Data and Analytics – Data Scientist{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Reports to{linebreak}{linebreak}{linebreak}{linebreak}Global Data and Analytics – Director / Senior Data Scientist{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Business Group{linebreak}{linebreak}{linebreak}{linebreak}Strategy{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Location{linebreak}{linebreak}{linebreak}{linebreak}Amsterdam, Schiphol-Rijk – The Netherlands or London - UK{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak} This vacancy is being managed exclusively by RBW Consulting {linebreak}{linebreak}Job purpose{linebreak}{linebreak} 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.{linebreak}{linebreak} Key responsibilities{linebreak}{linebreak} Work with key internal stakeholders associated with new and existing business initiatives to understand and detail their business requirements{linebreak}{linebreak}{linebreak}* Transform large, complex data sets into pragmatic, actionable insights.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Research and develop approaches on how to improve business processes and improve customers’ experience, by using our vast amounts of data.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Partner with data engineering teams to improve data as an asset of the business.{linebreak}{linebreak}* Participate in detailed product analysis, customer segmentation, lifetime value analysis, base management, market mix modelling etc to drive insights, targeted strategies and communication.{linebreak}{linebreak}* Develop internal A/B testing procedures to determine the effectives of different approaches.{linebreak}{linebreak}* Build knowledge about existing and emerging technologies and techniques as appropriate to data science, and maintain a learning ethos.{linebreak}{linebreak}* Build key data sets to empower operational and exploratory analysis.{linebreak}{linebreak}* Build and analyse key dashboards and reports.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak} Qualifications{linebreak}{linebreak}{linebreak}{linebreak}* The candidate should possess a degree in a quantitative field like Physics, Engineering, Statistics, Mathematics, Computer Science, Operational Research (or comparable studies){linebreak}{linebreak}* 2+ years work experience{linebreak}{linebreak}* Experience working within the Big Data ecosystem (Hadoop, MapReduce, Spark, Hive){linebreak}{linebreak}* Strong experience in statistical packages including R, Python(sckit-learn, pandas), etc{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Experience in data presentation tools including D3, bokeh, Tableau, Qlik.{linebreak}{linebreak}* Experience of using data to drive commercial and actionable insights for the business.{linebreak}{linebreak}* Preferably, the candidate has experience in statistical models applied to telecommunication and media, such as network optimization and churn modelling{linebreak}{linebreak}* A highly motivated a self-starter able to work with minimal supervision to complete assigned tasks.{linebreak}{linebreak}* Fluent in both written and spoken English{linebreak}{linebreak}* Good interpersonal and communication skills{linebreak}{linebreak}* Team player{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak} Working environment{linebreak}{linebreak}{linebreak}{linebreak}* A constantly changing, fast moving, dynamic environment{linebreak}{linebreak}* Flexible working required{linebreak}{linebreak}* Work in an international and multicultural team{linebreak}{linebreak}* Some travel through Europe is expected{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak} This role is being managed exclusively by RBW Consulting. 

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Hakka Labs

verified

Head of Marketing


Hakka Labs


marketing

community

data science

exec

marketing

community

data science

exec

5mo

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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.{linebreak}{linebreak}**The Role**{linebreak}{linebreak}The 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.{linebreak}{linebreak}We 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.{linebreak}{linebreak}It’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).{linebreak}{linebreak}**Our Team & Approach**{linebreak}{linebreak}Our 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.{linebreak}{linebreak}We 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.{linebreak}{linebreak}**Why Work with Us**{linebreak}{linebreak}We'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.{linebreak}{linebreak}Our 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.{linebreak}{linebreak}Data 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.{linebreak}{linebreak}**Requirements**{linebreak}- 5+ years experience building full-stack marketing organizations{linebreak}- Previous marketing experience with a product targeted at software engineers{linebreak}- Sharp storytelling & copywriting skills{linebreak}- Demonstrable technical content marketing experience{linebreak}- Previous startup experience is required{linebreak}- Event marketing experience helpful, but not required{linebreak}- Previous experience with Hubspot helpful, but not required{linebreak}- A demonstrated passion for technology{linebreak}- Familiarity with strategies for building technical communities

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EY

Data Scientist Tax


EY


data science

data science

5mo

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{linebreak}an den Standorten: München, Stuttgart, Eschborn, Köln, Düsseldorf, Berlin {linebreak}Auf Ihre Ziele kommt es an{linebreak}Sie 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?{linebreak}Dann sind Sie bei der Big Data und Advanced Analytics Gruppe von EY als Teil von Tax Technology and Transformation genau richtig!{linebreak}Das 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.{linebreak}{linebreak}Aufgaben, die Sie voranbringen{linebreak}Wir 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.{linebreak}Sie betreuen Projekte von der Akquise über die Konzeption und Durchführung bis hin zur Implementierung beim Kunden oder der Integration in unsere EY Cloud.{linebreak}Sie 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. {linebreak}Sie 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.{linebreak} {linebreak}{linebreak}{linebreak}Ihr Profil, um gemeinsam etwas zu bewegen{linebreak}Sie 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.{linebreak}{linebreak}Mehr Möglichkeiten für Ihre Entwicklung{linebreak}Hochfliegende 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.{linebreak}{linebreak}{linebreak}Wir freuen uns auf Ihre Bewerbung{linebreak}Machen 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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Komoot

verified

Data Analyst (m/f)


Komoot


data analysis

analytics

pandas

stats

data analysis

analytics

pandas

stats

Time Zones Between UTC-1 and UTC+35mo

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.{linebreak}To 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.{linebreak}{linebreak}**Your key responsibilities**{linebreak}* Turn events and data into actionable insights{linebreak}* Develop analysis to drive product and business decisions and company strategy{linebreak}* Design and implement metrics, dashboards, and continuous reports{linebreak}* Communicate and present findings to different audiences{linebreak}* Working closely with teams throughout the company{linebreak}* Be an evangelist of data-driven decision-making{linebreak}{linebreak}**Why you will love it**{linebreak}{linebreak}* You’ll be a key player in making product development, marketing and business decisions{linebreak}* You’ll work closely with komoot’s co-founder and influence the future direction of komoot{linebreak}* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift{linebreak}* You’ll work in a fast-paced startup with strongly motivated and talented co-workers{linebreak}* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love{linebreak}* 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{linebreak}* Every day, your work will inspire people to discover more of the great outdoors{linebreak}* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year{linebreak}{linebreak}**You will be successful in this position if you**{linebreak}* Have a burning desire to transform data into actionable insights{linebreak}* Have 3+ years of relevant experience interpreting data{linebreak}* Have strong and proven skills in SQL and Pandas/R{linebreak}* Have strong communication skills{linebreak}* Have fundamental statistical skills{linebreak}* Are keen to keep in touch with the latest advances in your area{linebreak}* Have a hands-on attitude and are highly self-driven{linebreak}{linebreak}**Sounds like you?**{linebreak}Then send us the following:{linebreak}{linebreak}* Your CV{linebreak}* A write-up explaining who you are and why you are interested in working at komoot{linebreak}* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.){linebreak}* 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{linebreak}* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile){linebreak}* {linebreak}{linebreak}#Location{linebreak}- Time Zones Between UTC-1 and UTC+3

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Komoot

Data Analyst


Komoot


analyst

data science

analyst

data science

5mo

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{linebreak}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.{linebreak}{linebreak}To 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.{linebreak}{linebreak}Your key responsibilities{linebreak}{linebreak}{linebreak}* Turn events and data into actionable insights{linebreak}{linebreak}* Develop analysis to drive product and business decisions and company strategy{linebreak}{linebreak}* Design and implement metrics, dashboards, and continuous reports{linebreak}{linebreak}* Communicate and present findings to different audiences{linebreak}{linebreak}* Working closely with teams throughout the company{linebreak}{linebreak}* Be an evangelist of data-driven decision-making{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Why you will love it{linebreak}{linebreak}{linebreak}* You’ll be a key player in making product development, marketing and business decisions{linebreak}{linebreak}* You’ll work closely with komoot’s co-founder and influence the future direction of komoot{linebreak}{linebreak}* You’ll work with a modern and powerful analytics platform based on AWS Kinesis and Redshift{linebreak}{linebreak}* You’ll work in a fast-paced startup with strongly motivated and talented co-workers{linebreak}{linebreak}* You’ll enjoy the freedom to organize yourself the way you want and work with whichever tools you love{linebreak}{linebreak}* 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{linebreak}{linebreak}* Every day, your work will inspire people to discover more of the great outdoors{linebreak}{linebreak}* You’ll join us for team gatherings in locations like Mallorca or the Bavarian Alps several times a year{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}You will be successful in this position if you{linebreak}{linebreak}{linebreak}* Have a burning desire to transform data into actionable insights{linebreak}{linebreak}* Have 3+ years of relevant experience interpreting data{linebreak}{linebreak}* Have strong and proven skills in SQL and Pandas/R{linebreak}{linebreak}* Have strong communication skills{linebreak}{linebreak}* Have fundamental statistical skills{linebreak}{linebreak}* Are keen to keep in touch with the latest advances in your area{linebreak}{linebreak}* Have a hands-on attitude and are highly self-driven{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Sounds like you?{linebreak}{linebreak}Then send us the following:{linebreak}{linebreak}{linebreak}* Your CV{linebreak}{linebreak}* A write-up explaining who you are and why you are interested in working at komoot{linebreak}{linebreak}* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.){linebreak}{linebreak}* 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{linebreak}{linebreak}* You’ll get bonus points for: Doing something creative with komoot (we love it when people go the extra mile){linebreak}{linebreak}{linebreak}

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Thinkful

Data Scientist Residence


Thinkful


data science

data science

5mo

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{linebreak}This 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. {linebreak}{linebreak}This 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.{linebreak}{linebreak}Thinkful’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.{linebreak}{linebreak}{linebreak}Requirements{linebreak}{linebreak}Industry Experience and Domain Expertise{linebreak}{linebreak}{linebreak}* Has a deep appreciation of the shape of the Data Science industry, and the constantly changing facets therein{linebreak}{linebreak}* 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{linebreak}{linebreak}* 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{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Leadership, Mentorship and Sponsorship{linebreak}{linebreak}{linebreak}* Can evaluate prospective student’s previous experience and interests to help create a healthy, engaged and successful student body{linebreak}{linebreak}* 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{linebreak}{linebreak}* 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{linebreak}{linebreak}* Can help the curriculum team evaluate and incorporate student feedback, including issue triage, clarification requests and example building{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Nice to Haves{linebreak}{linebreak}{linebreak}* Has experience teaching or leading training, either in an academic, professional or similar environment{linebreak}{linebreak}* Has been involved with mentoring direct employees, peer groups or organizations within a matrixed environment{linebreak}{linebreak}* Is interested in the public advocacy of Data Science and has participated in community events{linebreak}{linebreak}* 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{linebreak}{linebreak}* Is comfortable speaking in front of an audience of 10-50 people, either in person or via the web{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Understands how to succeed in a non-hierarchical, influence-based management organization, working with peer departments in curriculum development, student success and marketing{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Apply{linebreak}{linebreak}Please submit your resume and cover letter via our platform to apply for this role. 

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Hatch IT

Data Analyst


Hatch IT


analyst

data science

analyst

data science

6mo

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{linebreak}Hatch 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. {linebreak}{linebreak}Does this describe you?.{linebreak}{linebreak}{linebreak}* Experience building data products in Tableau{linebreak}{linebreak}* Excellent quantitative analysis abilities, grounded in epidemiology, biostatistics, health informatics, health care analytics or related field{linebreak}{linebreak}* Strong knowledge of SQL, understanding of database and field types, ability to write SQL queries{linebreak}{linebreak}* Thrive in the fast-moving, hard-charging environment of an early-stage startup{linebreak}{linebreak}* Ability to work remotely in an efficient and self-sufficient manner{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}If you are interested in learning more about this company or any Startups/Small Businesses in the area, please contact us!!{linebreak} {linebreak}We 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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Doximity

verified

Data Analyst


Doximity


python

sql

unix

statistics

python

sql

unix

statistics

7mo

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.{linebreak}{linebreak}We 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 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.{linebreak}{linebreak}How you’ll make an impact:{linebreak}{linebreak}-Collaborate with a team of product managers, analysts, data scientists, and other developers to define and complete data projects.{linebreak}-Show off your coding skills by creating data products from scratch and streamlining/automating existing code.{linebreak}-Leverage Doximity's extensive data sets to identify and classify behavioral patterns of medical professionals on our platform.{linebreak}-Play a key role in creating both product- and client-facing analytics.{linebreak}-Grow into a presentation/communication-focused role or dive deeper into more-involved technical challenges - the choice is yours.{linebreak}-Learn from experienced mentors and build your technical and non-technical skill sets.{linebreak}{linebreak}What we’re looking for:{linebreak}{linebreak}-B.S. or M.S. in quantitative field with 2-4 years of experience{linebreak}-Decent knowledge of statistics and visualization{linebreak}-Fluent in SQL and python. These skills are an absolute must{linebreak}-Comfortable with UNIX command line interface and standard programming tools (vim/emacs, git, etc.){linebreak}-Excellent problem solving skills and a strong attention to detail{linebreak}-Ability to manage time well and prioritize incoming tasks from different stakeholders{linebreak}-Fast learner; curiosity about and passion for data{linebreak}-Prior exposure to machine learning techniques (regressors, classifiers, etc) is a plus{linebreak}-Experience leveraging Apache Spark to perform analyses or process data is a plus{linebreak}{linebreak}About Doximity{linebreak}{linebreak}We’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!{linebreak}{linebreak}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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Financialforce.com

Senior Data Scientist


Financialforce.com


data science

senior

data science

senior

7mo

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{linebreak}THE ROLE {linebreak}{linebreak}Design 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.  {linebreak}{linebreak}Using 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.{linebreak}{linebreak}Will be able to visualise Analytics and Modelling in a way which enables broad user understanding.{linebreak}{linebreak}RESPONSIBILITIES{linebreak}{linebreak}{linebreak}* Provides Analytics & Modelling strategy to a variety of Product stakeholders internally, and externally Influencers and Investors.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* Conduct deep, and complex data analysis, and use to drive delivery of data rich highly-usable  products which demonstrate findings to stakeholders.{linebreak}{linebreak}* Put across reasoned arguments for where there is an opportunity for value add, and ROI.{linebreak}{linebreak}* Spot potential opportunities in the market and advise their management team of the impact of these.{linebreak}{linebreak}* Provides suggested methodologies, research techniques and data science proposals, whilst supporting less experienced members of the team through their Analytics responsibilities.{linebreak}{linebreak}* Provides in depth quantitative and qualitative data which can be productised, providing evidence which is needed to form strategy and support strategic decisions.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}ESSENTIAL SKILLS/QUALIFICATIONS{linebreak}{linebreak}{linebreak}* 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..{linebreak}{linebreak}* Expert competency with enterprise Analytics and modelling software tooling and methodologies eg SAS, SPSS, R, Python, Weka and KNIME{linebreak}{linebreak}* Strong knowledge and applied expertise of best-practices.{linebreak}{linebreak}* Experience of running multiple, large programmes of work from inception to completion{linebreak}{linebreak}* Proven track record of influencing and inspiring cross-functional peers and senior leaders by generating and implementing new ideas{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}In Scrum Master role{linebreak}{linebreak}{linebreak}* Is a Certified Scrum master{linebreak}{linebreak}* Has experience of working in an Agile Scrum environment{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}DESIRABLE SKILLS/QUALIFICATIONS{linebreak}{linebreak}{linebreak}* Experience of coordinating and leading other colleagues.{linebreak}{linebreak}* Courseware in management, project management, agile, communication and personal effectiveness.{linebreak}{linebreak}* Agile experience{linebreak}{linebreak}* Salesforce experience{linebreak}{linebreak}{linebreak}

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Experian

Senior Data Scientist


Experian


data science

senior

data science

senior

7mo

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{linebreak}Experian is looking for a Data Scientist to join the Fraud and Identity Solutions (FIS) Analytics team. This person would execute analytical engagements for Experian clients, primarily involving analysis for account acquisition, applicant decisioning, and account management.{linebreak}{linebreak}Position can be on-site or remote.  On-site locations can be San Diego, CA or Costa Mesa, CA or Indianapolis, IN or Atlanta, GA{linebreak}{linebreak}{linebreak}Key Responsibilities:{linebreak}{linebreak}* Lead analytical projects from solution design and data integrity evaluation through solution development, documentation, and implementation.{linebreak}{linebreak}* Research and development of new analytical solutions in fraud detection{linebreak}{linebreak}* Collaborate with internal and external clients to determine the appropriate analysis parameters and performance measures to be applied as well as requirements for decision tools and strategy implementation and monitoring.{linebreak}{linebreak}* Communicate with and deliver presentations to end users on analysis results.{linebreak}{linebreak}* Produce implementation plans and participate in model governance and testing to support the implementation of statistical models and other decision tools.{linebreak}{linebreak}* Support field sales force and marketing organization by providing analytical expertise.{linebreak}{linebreak}* Support the development of new analytical and data products and services, and the enhancement of current processes and offerings.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}* 3-5 Years Analytical Expertise, preferably in Fraud and/or Financial Services{linebreak}{linebreak}* Minimum of 5-7 years of statistical modeling / data analysis experience or course work including data manipulation experience preferably using SAS{linebreak}{linebreak}* Advanced degree, preferably in Statistics, Mathematics or Computer Science{linebreak}{linebreak}* Expert analytical skills to evaluate understand and interpret data from both an internal and client perspective{linebreak}{linebreak}* Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience{linebreak}{linebreak}* Excellent communication, organization, interpersonal and presentation skills{linebreak}{linebreak}* Strong knowledge of Unix and Microsoft office products{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Experian is the leading global information services company, providing data & analytical tools around the world.  Operating at the center of Big Data since before the phrase was coined, few companies can offer information services on the same scale. We’ve been named one of the “World’s Most Innovative Companies” by Forbes for 4 years in a row. We support clients in over 80 countries and employ 17,000 people in 37 countries.{linebreak}{linebreak}{linebreak}Experian offers flexible benefits and compensation packages that allow our employees to make choices that fit their individual lifestyles. Some of our benefits include:{linebreak}{linebreak}{linebreak}* Medical, Dental, Vision and Life Insurance{linebreak}{linebreak}* 401K with immediate 100% vesting{linebreak}{linebreak}* Vacation and paid Volunteer Time Off{linebreak}{linebreak}* Parental Leave{linebreak}{linebreak}* Short-Term and Long Term Disability Coverage{linebreak}{linebreak}* Flexible Spending Accounts{linebreak}{linebreak}* Tuition Reimbursement Program{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Experian is an Equal Opportunity Employer. Anyone needing accommodation to complete the interview process should notify the talent acquisition partner. The word "Experian" is a registered trademark in the EU and other countries and is owned by Experian Ltd. and/or its associated companies.

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Staywell

Senior Data Scientist


Staywell


data science

senior

data science

senior

8mo

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{linebreak}We are looking for a Senior 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.{linebreak}{linebreak}{linebreak}* Strong problem-solving skills with an emphasis on product development.{linebreak}{linebreak}* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.{linebreak}{linebreak}* Experience working with and creating data architectures.{linebreak}{linebreak}* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.{linebreak}{linebreak}* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.{linebreak}{linebreak}* Excellent written and verbal communication skills for coordinating across teams.{linebreak}{linebreak}* A drive to learn and master new technologies and techniques.{linebreak}{linebreak}* We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:{linebreak}{linebreak}{linebreak}{linebreak}* Coding knowledge and experience with several languages: C, C++, Java,{linebreak}{linebreak}* JavaScript, etc.{linebreak}{linebreak}* Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.{linebreak}{linebreak}* Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.{linebreak}{linebreak}* Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.{linebreak}{linebreak}* Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.{linebreak}{linebreak}* Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.{linebreak}{linebreak}* Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.{linebreak}{linebreak}* Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Education and/or Experience   {linebreak}{linebreak}5-7 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master's Statistics, Mathematics, Computer Science or another quantitative field.

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Peopledoc

Data Analyst


Peopledoc


analyst

data science

analyst

data science

9mo

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{linebreak}Data being at the center of our mission, our Data Team is looking to improve and innovate our data management practices and tools to bring added value to our client and develop our Data analytics solution. {linebreak}{linebreak}To complete this mission, PeopleDoc is looking for a Data Analyst to join his Data Team, actually composed of 6 people, 4 DBAs and 2 Data Engineers.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Build and maintain dashboards for clients based on their requirements (currently using ZohoReports){linebreak}{linebreak}* Build and maintain internal dashboards (currently using Superset){linebreak}{linebreak}* Work closely with other teams and support them with data that can help them to take the right decisions{linebreak}{linebreak}* Be involved in our data warehouse project in order to make data available to everyone inside the company{linebreak}{linebreak}* Mine in our data to identify and perform meaningful analysis{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}The position is open at Paris and can be remote in France or Germany.{linebreak}{linebreak} The successful candidate will be required to:{linebreak}{linebreak}{linebreak}* Work with DBAs as development team and the whole R&D team{linebreak}{linebreak}* Be curious and proactive{linebreak}{linebreak}* Love sharing his/her knowledge with other {linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Competencies required:{linebreak}{linebreak}{linebreak}* SQL knowledge{linebreak}{linebreak}* Previous experience with a data visualization tool is a plus (Tableau, ZohoReports, Superset, QlikView…){linebreak}{linebreak}* Team player, creative and able to set his own priorities{linebreak}{linebreak}{linebreak}

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EY Switzerland

Data Analyst


EY Switzerland


analyst

data science

analyst

data science

9mo

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{linebreak}Data Analyst – Consultant/Senior Consultant (f/m) Finance Advisory Services / EMEIA Financial Services in Zürich {linebreak}{linebreak}EY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities. Visit us at http://www.ey.com/CH/en/Careers{linebreak}{linebreak}Our Financial Services Organization is the only Big 4 firm with functional and cross-country specialization in the financial services sector. We offer our customers all over the world seamless, consistent and high quality services. Finance Advisory Services provides professional advisory services to our financial services clients across the breadth of their Finance function. We are looking for an experienced, team-oriented, motivated and committed Data Analyst (Consultant/Senior Consultant) to further strengthen our practice in Zurich. {linebreak}{linebreak}Tasks that you promote{linebreak}{linebreak}{linebreak}* Supporting and advising our financial services clients (banks, asset managers and insurers) in the area of accounting, regulatory and compliance-related data analytics topics{linebreak}{linebreak}* Building and supporting reusable data analysis structures within a variety of technical environments; enabling self-service analytical capability for key technical stakeholders as well as producing stand-alone reports{linebreak}{linebreak}* Gathering requirements from key stakeholders and preparing and presenting analysis results{linebreak}{linebreak}* Working in close collaboration with technical and non-technical colleagues{linebreak}{linebreak}* Producing project outputs (including analytical activities in Excel, SQL, Spotfire and SAS){linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Your profile to succeed together{linebreak}{linebreak}{linebreak}* This role requires technical (data) expertise, a business & consultancy mind-set and the ability to work within small and large project teams with minimal supervision{linebreak}{linebreak}* Bachelor or Master degree in computer science, mathematics, statistics and business or similar{linebreak}{linebreak}* Practical or theoretical knowledge/experience in Finance and knowledge of accounting principles{linebreak}{linebreak}* Relevant understanding of Finance and/or regulation within the financial services sector is an advantage{linebreak}{linebreak}* Data management skills (SQL, SAS or similar){linebreak}{linebreak}* Advanced skills in Microsoft Excel/VBA & Power Point{linebreak}{linebreak}* Exceptional analytical, quantitative, problem-solving, and critical thinking skills{linebreak}{linebreak}* Strong attention to details and accuracy when working with complex numerical data{linebreak}{linebreak}* Knowledge of data preparation and integration tools (Alteryx, Pentaho, Talend or similar) is an advantage, together with knowledge of data visualization tools (Tableau, Spotfire, Power BI) and programming languages (Iron Python, R, C# or Java){linebreak}{linebreak}* Proactive, flexible and team-oriented with the intellectual curiosity and the willingness to “go the extra mile”{linebreak}{linebreak}* Interest and ability to build your relevant internal and external networks in a fast-paced and international environment investing in sustainable relationships{linebreak}{linebreak}* English and German are a prerequisite{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}More opportunities for your development{linebreak}{linebreak}Do you have challenging plans? Stick to them and realize your goals with us! Design your career with EY in a culture that promotes diversity and education. In an environment that constantly opens new doors through knowledge sharing, flexibility and recognition. We offer you to join our highly motivated team of advisory professionals. You will be working and learning in a highly dynamic and cross-functional team - being able to boost your learning curve through the combination of intensive team work, challenging client projects and being part of the network of one of the world’s leading professional services firms.{linebreak}{linebreak}Doreen Schwarz is looking forward to receiving your application{linebreak}{linebreak}Do the next step and apply for this position online. Ref No: ZUR00154. For further information please contact our recruitment team (Recruitment.switzerland@ey.com / +41 58 286 33 66).

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Adroll

Data Science Engineer Attribution


Adroll


data science

engineer

data science

engineer

9mo

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{linebreak} About the Role:{linebreak}{linebreak}AdRoll’s Attribution Team is seeking a Senior Data Science Engineer to develop a statistic multi-touch attribution pipeline designed to clearly analyze the value of a client’s various marketing channels.{linebreak}{linebreak}This is not a project where you will inherit a sprawling legacy code base that will tie your hands. Instead you will be joining a ground floor effort driven by a team of engineers tasked with solving challenging technical and mathematical problems that are of paramount importance to the company’s future. You will be tasked with architecting, collaborating and implementing solutions to technical problems that will put you in a position to learn and grow.{linebreak}{linebreak}Your mission will be to research, imagine, analyze, and ultimately build out methodologies for determining which marketing channels are having what effect on client purchase statistics. You will be the first data scientist hired specifically for this purpose, and thereby we are counting on you to design our approach to the unique problems at hand. You will do extensive research of existing methodologies and various practices employed by others in order to understand some of the inherent wider problems in this particular problem set. You will work with our extensive internal analytical toolset to vet various theories. You will collaborate with our broader data science team and actively seek their consultation as you hone your strategies. If you are an experienced data scientist with an in depth knowledge of statistics, then you will be a great fit for this position.{linebreak}{linebreak}{linebreak}At AdRoll Engineering, we value the freedom and autonomy we give to our employees and urge everyone to use a multitude of different technologies based on their interests. In this position, you have the chance to create, build, and own complex modeling pipelines.{linebreak}{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Research key concepts around statistical multi-touch attribution{linebreak}{linebreak}* Work actively with existing datasci team members to understand their tech stack and toolset, and craft your own solutions{linebreak}{linebreak}* Validate hypotheses through rigorous analysis and testing{linebreak}{linebreak}* Work alongside our senior backend engineering team to realize your approaches in our production environment{linebreak}{linebreak}* Mentor, teach, hire, and share your knowledge to make our datasci and engineering teams stronger{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* MS in Statistics{linebreak}{linebreak}* 5+ years working in datasci/analytics{linebreak}{linebreak}* Experience with big data processing pipelines{linebreak}{linebreak}* Familiarity or interest in Python, Docker, and AWS{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Experience in the adtech industry{linebreak}{linebreak}* Experience building automated experiment testing pipelines{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}{linebreak}

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Redelastic

Data Science Lead


Redelastic


exec

data science

exec

data science

9mo

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{linebreak}RedElastic is looking for a talented machine learning expert to help us craft the next-generation of social platforms. Leverage your deep knowledge of first-principles in machine learning and deep learning to implement matching algorithms in the social video space.{linebreak}What you will do day-to-day: {linebreak} * Design, implement, and optimize machine learning platforms in order to optimize peer-to-peer matches for real-time chat{linebreak} * Design and experiment machine learning/deep learning models so the quality of matches increases over time{linebreak} * Analyze and debug prediction models; live and breath design-oriented thinking{linebreak} * Collaborate with the development team to coordinate on all aspects of development{linebreak} * Help our clients choose the right technologies for their business needs (and avoid cargo cult programming){linebreak} {linebreak}{linebreak}{linebreak}Benefits{linebreak}{linebreak}RedElastic is a small company without the bureaucracy of traditional consulting firms. We didn't start RedElastic to grow into yet another giant consulting company, we started RedElastic to create a home for the top talent in Canada so we could all build a brand we're proud of. We're very selective about who we hire, and even more selective about the client work we take on. This means you'll have a direct impact on the type of work we do as a team together.{linebreak}The benefits of working at RedElastic:{linebreak} * Top-shelf compensation{linebreak} * Spend 2-5 days per week in our office in downtown Toronto, complete with free coffee, beer taps, and most importantly some great conversations with other talented folks; work from home the rest of the time{linebreak} * Remote applicants will be considered on a contract-basis{linebreak} * The ability to make a difference without the traditional boundaries of an enterprise role; create unique and compelling solutions without a hint of micromanagement{linebreak} * Take your career to the next level by participating in conferences, contributing to our blog, or even working on a book with us (well help you achieve your career goals in any way we can){linebreak} {linebreak}

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Rainforest

Data Science Generalist


Rainforest


python

machine learning

data science

python

machine learning

data science

9mo

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We're looking for a Data Scientist/Machine Learning Engineer with a wide range of competencies. Rainforest is changing the way people do QA and data is at the heart of how we do that. From crowd management and fraud detection to data visualization and automation research, there are myriad opportunities to use your creativity and technical skills.{linebreak}{linebreak}We are looking for someone who learns quickly and is a great communicator. Since we are a remote, distributed development team, decent writing skills and(over)communication is important to us. You can be based anywhere in the world (including San Francisco, where our HQ is located).{linebreak}We regularly send our data scientists to conferences, both [to speak](https://www.youtube.com/watch?v=7_h8PElXio8) and just learn (e.g. last year we went to NIPS and KDD, this year to Europython and a couple of [PyDatas](https://www.youtube.com/watch?v=8kL71zk4KNk)). You can read about some of our work on [predicting test run durations](https://www.rainforestqa.com/blog/2017-11-07-how-to-predict-and-reduce-test-execution-time/) and how [Kaggle](https://www.rainforestqa.com/blog/2017-10-24-kaggle-perks-in-real-data-science-work/) can be useful in the real world. And hear some of our team members speak on the topic of Women, Company Culture, and Remote Teams [here](https://www.youtube.com/watch?v=BwKHfPgLcBY). {linebreak}{linebreak}

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# How do you apply? Please use this link to apply: https://jobs.lever.co/rainforest/e7eab367-cae8-4e7b-8642-e7b66c4c00bb
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Envision & Company Ltd.

Data Scientist


Envision & Company Ltd.


javascript

react

mobile

machine learning

javascript

react

mobile

machine learning

10mo

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About Envision{linebreak}Envision is a FinTech start-up company based at level 39 Canary Wharf London, Europe’s largest technology accelerator for FinTech. Envision is also a member of the Innovate Finance and very actively engaged with the London’s fast paced FinTech community. At Envision we believe in a future free from the complexity of the payments eco-system, building our solutions with privacy of consumer data in mind and security by design. We give our customers peace of mind from the risk of growing online fraud with our innovative solutions using AI and cutting edge technology.{linebreak}{linebreak}Envision has built a digital payments platform from scratch with the highest security standards (PCI-DSS Level 1). We are now building SpiralPay, an innovative mobile wallet platform that revolutionises payments, secure identity verification and data privacy all in a single platform.{linebreak}{linebreak}SpiralPay allows people to take back control of their data acting as a single tool for secure login, identity verification and payments without storing or sharing personal data. Even Envision will not have access to the data as the key always stays in the hands of the consumer. Unlike other wallets we focus heavily on security, promising our customers that we will never store their personal data or share to third parties with their explicit consent.{linebreak}{linebreak}We are also adapting Spiral360, our innovative AI/machine learning enabled real-time fraud detection solution, to SpiralPay app with in-built machine learning/ AI algorithms for real-time fraud detection operating on the mobile device even while the user is offline. Using a unique personal behavioral map which is created and updated frequently after each transaction.{linebreak}{linebreak}We are fully remote team at the moment and so communication is really important, we use Slack to make it easier and we also have regular video conference calls.{linebreak}{linebreak}The role{linebreak}{linebreak}• 1 Data Scientist{linebreak}{linebreak}We are looking for an individual who has a strong coding background in Python. The role requires working with all kind of libraries such as Tensorflow, Scikit-learn etc. Our primary focus is building statistical models as well as utilising machine learning and/or deep learning. Data manipulation skills in SQL based toolsets are also essential as is the ability to work with APIs (including defining APIs for Data science applications). This is an exceptional prospect with plenty of room for career progression.{linebreak}3+ years’ experience in Artificial intelligence/ Machine learning is required.{linebreak}{linebreak}Data Scientist Job Responsibility:{linebreak}{linebreak}• Selecting features, building and optimising classifiers using machine learning based tools or processes within our company{linebreak}• Data mining using state-of-the-art methods{linebreak}• Ability to research, design and implement self-learning algorithms{linebreak}• Ability to clearly communicate the designed algorithms, data flows and outcomes{linebreak}• Develop models for fraud detection for various payment transactions and social media content{linebreak}• Strong skills in statistics, machine learning and/or deep learning{linebreak}• Demonstrated experience with development of high performance models used for real-time processing{linebreak}• Comfortable working with developers with the willingness to both teach others and learn new techniques{linebreak}• Processing, cleansing, and verifying the integrity of data used for analysis{linebreak}• Creating automated anomaly detection systems with constant performance tracking{linebreak}{linebreak}Desirables{linebreak}• Extensive experience with designing REST API{linebreak}• Knowledge of Spark, Kafka{linebreak}• Experience with Docker containers{linebreak}• Familiar with Unix operating systems (Ubuntu){linebreak}{linebreak}Personal Skills{linebreak}• Individual with a passion and enthusiasm to take on bigger challenges and stretching goals.{linebreak}• Success mindset.{linebreak}• Proactive and creative self-starter.{linebreak}• Problem solver with positive mental and learning attitude.{linebreak}• Team player with strong interpersonal, communication skills.{linebreak}• Can work in small team with a vision to grow.{linebreak}{linebreak}Please check http://www.envisionworld.co for more information or contact us at info@envisionworld.co{linebreak}{linebreak}We thank you in advance for your interest!{linebreak}{linebreak}The Envision Team

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# How do you apply? Please email your CV and cover letter to info@envisionworld.co
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Adroll

Lead Data Science Engineer


Adroll


exec

data science

engineer

exec

data science

engineer

10mo

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{linebreak}About the Role:{linebreak}{linebreak}Members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.{linebreak}{linebreak}Our advanced optimization team focuses on utilizing data to drive revenue at AdRoll while optimizing value for individual marketers across our growing product eco-system.{linebreak}{linebreak}Your main responsibility will be to lead a team that improves and scales our internal optimization algorithms. This means providing mentorship and guidance in statistics, experimental design, and large data processing tasks. You’re happy to jump in where needed, leveraging your software engineering expertise to help the team get where it’s going faster. You must have the ability to articulate recommendations in a clear and concise way. You will bring a real passion for finding creative end-to-end engineering solutions to complex business problems.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Lead a team of Data Science Engineers responsible for optimizing campaign performance and pacing{linebreak}{linebreak}* Develop scalable algorithms to optimize and monitor campaign performances across a diverse group of over 30,000 marketers{linebreak}{linebreak}* Aid in the design of experiments to optimize user segmentation, campaign setup, and real-time bidding strategies{linebreak}{linebreak}* Report on department-level achievement of goals{linebreak}{linebreak}* Conduct reviews of code and system designs{linebreak}{linebreak}* Communicating and convincing vested stakeholders the nuanced benefits/drawbacks of proposed solutions.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* MS/BS in a quantitative field such as Statistics, Quantitative Finance, Physics or a related degree  {linebreak}{linebreak}* 4+ years industry experience is a requirement{linebreak}{linebreak}* Strong programming skills in Python{linebreak}{linebreak}* Deep statistical skills - experience conducting field experiments and interpreting results to partners{linebreak}{linebreak}* 2+ year experience with distributed analytic processing engines like MapReduce/Hive/Presto/Spark{linebreak}{linebreak}* Superb communication, organization, and problem solving skills{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Background in online advertising{linebreak}{linebreak}* Prior experience leading small teams{linebreak}{linebreak}* Familiarity with a wide breadth of mathematical knowledge (e.g., convex optimization, Bayesian analysis){linebreak}{linebreak}* Humor. Old school video games. Robots.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}* The opportunity to win the coveted Golden Bagel award{linebreak}{linebreak}{linebreak}

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Wikimedia Foundation

Data Scientist


Wikimedia Foundation


data science

data science

10mo

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{linebreak}Summary{linebreak}{linebreak}The Wikimedia Foundation is looking for a seasoned data scientist to join the Contributors team.  Data Scientists at the Wikimedia Foundation are key members of the product team who are the experts within the organization at measuring what is going on. Their analysis and insight help product analysts and managers envision, scope, and refine features, products, and services that are used by hundreds of millions of people around the world.{linebreak}{linebreak}You will join the Contributors team, where we build collaborative, inclusive tools for creating and editing free knowledge.{linebreak}{linebreak}Responsibilities{linebreak}{linebreak}{linebreak}* Work closely with product managers to build out and maintain detailed on-going analysis of the team’s products, their usage patterns, and performance.{linebreak}{linebreak}* Write database queries and code to analyze Wikipedia usage volume, user behaviour, and performance data to identify opportunities and areas for improvement.{linebreak}{linebreak}* Run and analyze controlled experiments in order to inform product development.{linebreak}{linebreak}* Maintain and expand the team’s dashboards, ensuring they are up-to-date, accurate, fair and focused representations of the efficacy of the products.{linebreak}{linebreak}* Support product managers by rapidly surfacing positive and adverse data trends, and ad hoc analysis support as needed.{linebreak}{linebreak}* Communicate your findings clearly and responsively to a range of team, organisational, volunteer and public stakeholders, informing and educating them.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Requirements{linebreak}{linebreak}{linebreak}* Bachelor's degree or equivalent in related work experience{linebreak}{linebreak}* Experience with using analytics infrastructure to extract patterns from large datasets{linebreak}{linebreak}* Experience supporting organisational teams with situational awareness and bespoke fact-finding data{linebreak}{linebreak}* Proficiency with SQL and either R or Python.{linebreak}{linebreak}* Strong eye for detail and a passion for quickly delivering results for rapid action.{linebreak}{linebreak}* Comfortable working in a highly collaborative, consensus-oriented environment{linebreak}{linebreak}* Demonstrated judgment skills to find solutions{linebreak}{linebreak}* Good written and verbal communication skills{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Pluses{linebreak}{linebreak}{linebreak}* Experience working in an agile software development environment{linebreak}{linebreak}* Experience working with advanced analytics tools like Hive, Jupyter, and Bayesian statistics Experience with qualitative research methodologies such as user research or grounded theory{linebreak}{linebreak}* Familiarity with Wikipedia processes and workflows{linebreak}{linebreak}* Passion for Wikipedia and other Wikimedia projects{linebreak}{linebreak}* Fluency in languages other than English{linebreak}{linebreak}* Understanding of free culture, free software, and open source principles{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We would love to see your work — please provide URIs to any existing open source software work or research code you may have done (own software or patches to other packages) if possible when you apply. We'd really like to see what you can do! {linebreak}{linebreak}Benefits & Perks *{linebreak}{linebreak}{linebreak}* Fully paid medical, dental and vision coverage for employees and their eligible families (yes, fully paid premiums!){linebreak}{linebreak}* The Wellness Program provides reimbursement for mind, body and soul activities such as fitness memberships, baby sitting, continuing education and much more{linebreak}{linebreak}* The 401(k) retirement plan offers matched contributions at 4% of annual salary{linebreak}{linebreak}* Flexible and generous time off - vacation, sick and volunteer days, plus 19 paid holidays - including the last week of the year.{linebreak}{linebreak}* 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.{linebreak}{linebreak}* For those emergency moments - long and short term disability, life insurance (2x salary) and an employee assistance program{linebreak}{linebreak}* Pre-tax savings plans for health care, child care, elder care, public transportation and parking expenses{linebreak}{linebreak}* Telecommuting and flexible work schedules available{linebreak}{linebreak}* Appropriate fuel for thinking and coding (aka, a pantry full of treats) and monthly massages to help staff relax{linebreak}{linebreak}* Great colleagues - diverse staff and contractors speaking dozens of languages from around the world, fantastic intellectual discourse, mission-driven and intensely passionate people{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* for benefits eligible staff, benefits may vary by location{linebreak}{linebreak}More Information{linebreak}{linebreak}https://wikimediafoundation.org{linebreak}{linebreak}https://blog.wikimedia.org

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Sandvik Machining Solutions

Data Scientist For New Sandvik CODE


Sandvik Machining Solutions


dev

data science

digital nomad

dev

data science

digital nomad

10mo

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{linebreak}With local presence in 150 countries, north of 30 billion SEK in annual turnover and more than one Terabyte of machine data generated every second, Sandvik Machining Solutions is a world leader in engineering solutions the manufacturing industry. With its brand recognition and global reach, Sandvik aspires to help its 250 000 industrial customers embrace digital transformation, at scale, globally. To do so, it created CODE.{linebreak}{linebreak}CODE is a new, bold take on industrial digitization, tasked with the mission to design, build and deploy innovative, digital-first solutions to help solve the most important challenges Sandvik’s customers face across all of manufacturing. CODE is uniquely positioned to combine Sandvik’s deep industrial expertise with cutting-edge advances in machine learning, artificial intelligence and digital user experiences to create compelling, customer centric solutions to big problems.{linebreak}{linebreak}Job description{linebreak}{linebreak}We’re looking for a senior data scientist to join us at Sandvik CODE as we strive toward shaping the way industrial companies take on digital transformation. Together with a dynamic team of experienced product managers, designers and engineers, you will work in close collaboration with our customers – all over the world – to identify, prototype and build compelling and purposeful use cases through machine learning, artificial intelligence and data mining.{linebreak}{linebreak}As a team, we are deeply committed to transform the way Sandvik approaches digital solutions to hard problems. We view integrity, openness and accountability as cornerstones to our ability to deliver value in both the short and long term. Our operational model is rooted in design thinking, and we work closely with customers, partners and internal Sandvik teams to ideate, prototype and iterate concepts at a rapid pace. We exponentially scale only the solutions we can prove to drive substantial value creation for our customers. Nothing else matters.{linebreak}{linebreak}Responsibilities{linebreak}{linebreak}{linebreak}* Work with our executives, product managers, engineers and designers to identify and map out the most purposeful use cases for data science, machine learning and artificial intelligence inside Sandvik Machining Solutions{linebreak}{linebreak}* Work with Sandvik’s engineering teams to design and develop conceptual models and derive best practices for integrating data science into existing and new products and services{linebreak}{linebreak}* Prototype, validate and iterate data science-driven use cases across all of Sandvik’s strategic focus areas, including additive manufacturing (3D printing), metal cutting, logistics and planning, and cross-team collaboration{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Skills & Qualifications{linebreak}{linebreak}Required{linebreak}{linebreak}{linebreak}* MSc. or PhD in Computer Science, Mathematics, Electrical Engineering or equivalent field{linebreak}{linebreak}* Strong, fundamental understanding of probability theory, signal processing and time series analysis, multinomial regression models and multi-class classification models{linebreak}{linebreak}* At least 4 years of experience designing, building and deploying data science solutions in a professional environment{linebreak}{linebreak}* Extensive experience producing production grade solutions using programming languages and frameworks for scientific computing, such as Python, R, Scala, Matlab or equivalent{linebreak}{linebreak}* Extensive experience in packaging, organizing and documenting data science-based solutions to enable integrations with external software systems{linebreak}{linebreak}* Extensive Experience working with machine learning frameworks such as Theano, Torch, Caffe, TensorFlow or equivalent{linebreak}{linebreak}* Experience working with visualization tools such as Matplotlib (Python), Zeppelin (Spark), or GGPlot2 (R) or equivalent{linebreak}{linebreak}* Extensive Experience working with relational databases, such as PostgreSQL and NoSQL databases, such as Apache Cassandra or equivalent{linebreak}{linebreak}* Experience with large, distributed file systems and data stores, such as Hadoop HDFS or equivalent{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Preferred{linebreak}{linebreak}{linebreak}* Experience working with web-based visualization tools such as D3.js or dygraphs{linebreak}{linebreak}* Experience working with Apache Spark and its related technologies, including SparkSQL and DataFrames{linebreak}{linebreak}* Familiarity with real-time streaming brokers, such as Kafka{linebreak}{linebreak}* Familiarity with graph databases, such as Neo4j, and their applications{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We are a company with an open-minded culture, actively working to create a workplace that is characterized by diversity and inclusion. As our team at Sandvik CODE are truly international, we expect you to have excellent communication skills in English.{linebreak}{linebreak}Benefits of working for Sandvik in Stockholm, Sweden{linebreak}{linebreak}{linebreak}* 5-6 weeks’ paid vacation.{linebreak}{linebreak}* Flexible working hours.{linebreak}{linebreak}* Company pension scheme.{linebreak}{linebreak}* Paid Parental Leave after 1 years’ employment.{linebreak}{linebreak}* Performance-related bonus scheme.{linebreak}{linebreak}* Pay for your Stockholm subway travel card through monthly salary deduction.{linebreak}{linebreak}* After 1 years’ employment, you can choose between 3 days’ extra vacation, an additional annual pension contribution or a lump sum paid out simultaneously with your regular monthly salary.{linebreak}{linebreak}* Work in a world class innovation environment in the heart of Stockholm.{linebreak}{linebreak}* Subsidized healthcare and life insurance.{linebreak}{linebreak}* Subsidized gym membership.{linebreak}{linebreak}* Social Activities – socialize with other Sandvik employees through theme nights, activities and days out.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Contact information{linebreak}{linebreak}For further information about this position, please contact:{linebreak}Hugo Nordell, Recruiting Manager, +46 (0)26 266 242{linebreak}{linebreak}Union contacts{linebreak}{linebreak}Thomas Lilja, Unionen, +46 (0)70 261 04 82{linebreak}Anna Åkesson, Akademikerföreningen, +46 (0)70 642 83 29{linebreak}{linebreak}As we have an ongoing selection process for this position, we’d like you to send us your application as soon as possible. Please showcase your skills by adding your StackOverflow or GitHub profile in your application.{linebreak}{linebreak}Recruitment Specialist{linebreak}Renée Nordström

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Doximity

verified

Senior Data Scientist


Doximity


python

machine learning

data science

senior

python

machine learning

data science

senior

10mo

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Doximity is the leading online medical network with over 70% of U.S. doctors as members. We have strong revenues, profits, real market traction, and we’re putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Launched by Jeff Tangney in 2011; Jeff previously founded healthcare pioneer Epocrates (NASDAQ: EPOC). Our beautiful offices are located in SoMa San Francisco.{linebreak}##Skills & Requirements{linebreak}- 4+ years of industry experience and M.S./Ph.D. in Computer Science, Engineering, Statistics, or other relevant technical field.{linebreak}- 4+ years experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, deep learning) and parameters that affect their performance.{linebreak}- Expert knowledge of probability and statistics (e.g., experimental design, optimization, predictive modeling).{linebreak}- Experience with recommendation algorithms and strong knowledge of machine learning concepts.{linebreak}Solid engineering skills to build scalable solutions and help automate data processing challenges.{linebreak}- Excellent problem-solving skills and ability to connect data science work to product impacts.{linebreak}- Fluent in SQL and Python; experience using Apache Spark (pyspark) and working with both relational and non-relational databases.{linebreak}- Familiarity with AWS, Redshift.{linebreak}{linebreak}##What you can expect{linebreak}- Employ scalable statistical methods and NLP methods to develop machine learning models at scale, owning them from inception to business impact.{linebreak}- Leverage knowledge of recommendation algorithms to increase user engagement through personalization of delivered content.{linebreak}- Plan, engineer and measure outcomes of online experiments to help guide product development.{linebreak}- Collaborate with a team of product managers, analysts, data engineers, data scientists, and other developers.{linebreak}- Think creatively and outside of the box. The ability to implement and test your ideas quickly is crucial.{linebreak}{linebreak}##Technical Stack{linebreak}- We historically favor Python and MySQL, but leverage other tools when appropriate for the job at hand.{linebreak}- Machine learning (linear/logistic regression, ensemble-models, boosted-models, clustering, NLP, text categorization, user modeling, collaborative filtering, etc) via industry-standard packages (sklearn, nltk, -Spark ML/MLlib, GraphX/GraphFrames, NetworkX, gensim).{linebreak}- A dedicated cluster is maintained to run Apache Spark for computationally intensive tasks.{linebreak}- Storage solutions: Percona, Redshift, S3, HDFS, Hive, neo4j.{linebreak}- Computational resources: EC2, Spark.{linebreak}- Workflow management: Airflow.{linebreak}{linebreak}##Fun facts about the Data Science team{linebreak}- 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.{linebreak}- We build code that addresses user needs, solves business problems, and streamlines internal processes.{linebreak}- The members of our team bring a diverse set of technical and cultural backgrounds.{linebreak}- Business decisions at Doximity are driven by our data, analyses, and insights.{linebreak}- Hundreds of thousands of healthcare professionals will utilize the products you build.{linebreak}- A couple times a year we run a co-op where you can pick a few people you'd like to work with and drive a specific company goal.{linebreak}- We like to have fun - company outings, team lunches, and happy hours!

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Mixtiles

Performance Marketer


Mixtiles


data science

marketing

design

digital nomad

data science

marketing

design

digital nomad

10mo

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**About Mixtiles**{linebreak}We’re helping people put photos on walls. Canvas prints and framed photos are OLD products that haven’t seen innovation in years. We’re using software, industrial design and operational excellence to redesign the entire experience, starting from your phone. Check out our apps (iOS, Android) and our video!{linebreak}{linebreak}**How important is performance marketing to Mixtiles?**{linebreak}Performance marketing is the lifeline of Mixtiles. The driver of our growth. Our monthly budget is hundreds of thousands of dollars, and we constantly strive to increase it. We want to become one of the biggest spenders on the internet. Our R&D team invests a lot in collecting and analysing data from multiple resources. Our CEO invests much of his time into improving our methods.{linebreak}{linebreak}**What will you do?**{linebreak}You will be owner, luminary, crowned head of our performance marketing. You’ll make smart decisions that will increase our ad spend while preserving our ROI. You’ll do that by scaling up our existing channels, and finding new channels. You’ll optimize our customer acquisition funnel. If you’re good, you’ll be able to spend 5 million dollars a month by the end of 2018. If you’re amazing, you’ll take this whole chunk of worries off of our CEO’s head.{linebreak}{linebreak}**Who should you be?**{linebreak}You’re super smart and a whiz with numbers. You’re a great communicator, people who work with you love you. You’re a great professional, you are very knowledgeable in the art and science of performance marketing, and you’re relentlessly resourceful when things don’t work as planned. You’re a hands-on type, you can do a lot of stuff alone, and don’t need to rely on a huge, heavy team to get things done.

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RTB House

Data Scientist


RTB House


data science

data science

11mo

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{linebreak}Chcesz uczestniczy w budowie jednej z najpotniejszych na wiecie platform DSP, przetwarzajcej setki tysicy zapyta na sekund z latency time rzdu kilku ms? Uwielbiasz  programowa, ogromne zbiory danych, algorytmy optymalizacyjne i najnowsze metody machine learning?  We si zdecyduj i... docz do nas! {linebreak}{linebreak}Twoje zadania:{linebreak}{linebreak}{linebreak}* projektowanie i programowanie modeli matematycznych oraz algorytmów optymalizacyjnych sucych do przewidywania zachowa i preferencji internautów{linebreak}{linebreak}* analiza danych pod ktem ich przydatnoci do wykorzystania w konkretnych problemach{linebreak}{linebreak}* dostosowywanie budowanych rozwiza do wymaga produkcyjnego systemu (m.in optymalizacja latency czy zuycia zasobów) oraz koordynowanie procesu wdroenia{linebreak}{linebreak}* rozwój narzdzi do automatycznego przetwarzania i analizy danych{linebreak}{linebreak}* przeprowadzanie testów A/B nowych rozwiza{linebreak}{linebreak}* ciga optymalizacja istniejcych narzdzi i procesów{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Nasze wymagania:{linebreak}{linebreak}{linebreak}* biego w programowaniu{linebreak}{linebreak}* bardzo dobra znajomo statystyki i rachunku prawdopodobiestwa{linebreak}{linebreak}* bardzo dobra znajomo zagadnie zwizanych z machine learningiem i ogólnym procesem konstrukcji i testowania modeli matematycznych czy algorytmów optymalizacyjnych{linebreak}{linebreak}* umiejtno dobierania najlepszych rodków do osignicia zoonych celów, np. poprzez elastyczne stosowanie jzyków programowania, frameworków, narzdzi itp.{linebreak}{linebreak}* ch do eksperymentowania i wycigania wniosków{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Dodatkowymi atutami bd:{linebreak}{linebreak}{linebreak}* znajomo zagadnie zwizanych z sieciami neuronowymi i deep learningiem od strony teoretycznej i wykorzystania w praktyce{linebreak}{linebreak}* praktyczna znajomo wybranych frameworków takich jak: Torch, Theano, Caffe czy TensorFlow{linebreak}{linebreak}* dowiadczenie w programowaniu z uyciem GPU (CUDA, OpenCL...){linebreak}{linebreak}* znajomo wybranych technologii Big Data takich jak: Hadoop, Crunch, Spark, Google Big Query, Aerospike oraz wszelkich innych najnowszych rozwiza z brany IT{linebreak}{linebreak}* gboka wiedza na temat sposobu dziaania ww. technologii, nie tylko na poziomie interfejsu czy funkcjonalnoci{linebreak}{linebreak}* dobre zrozumienie kompleksowych zagadnie IT, dotykajcych m.in. aplikacji high availability, high performance, cloud computing, microservices{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}W zamian oferujemy:{linebreak}{linebreak}{linebreak}* prac w zrónicowanym zespole pasjonatów{linebreak}{linebreak}* dostp do najnowoczeniejszych technologii & wykorzystywanie ich w realnych projektach w krótkim czasie wdroeniowym (zobacz: http://stackshare.io/rtb-house i https://github.com/RTBHOUSE){linebreak}{linebreak}* moliwo wykorzystania posiadanej wiedzy i kompetencji w praktycznych zastosowaniach – przy optymalizacji algorytmów kupujcych miesicznie miliardy odson reklamowych w modelu RTB obsugujcych setki milionów internautów, bazujc na obszernych zbiorach danych{linebreak}{linebreak}* moliwo projektowania i wdraania rozwiza w 3 data centers na rónych kontynentach (kilkaset serwerów fizycznych){linebreak}{linebreak}* efekty Twojej pracy widoczne od razu w wynikach biznesowych firmy{linebreak}{linebreak}* wspóprac w modelu B2B z atrakcyjnym wynagrodzeniem{linebreak}{linebreak}* wyjtkowo elastyczne warunki pracy – pracujesz kiedy chcesz i skd chcesz{linebreak}{linebreak}* sprzt i oprogramowanie, jakiego potrzebujesz{linebreak}{linebreak}{linebreak}

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Nelio

verified

React Ninja Data Scientist >> Food Tech Team


Nelio


react

javascript

data science

react

javascript

data science

11mo

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{linebreak}Notre mission est de révolutionner la manière dont nous consommons !{linebreak}{linebreak}Nelio livre dans l'heure les meilleurs commerçants de la ville, avec recettes et foodlists ! Après une année d'opération nous avons une très belle base client, d'excellentes metrics sur notre application, et une jolie serie A ! L'avenir s'annonce fascinant :){linebreak}{linebreak}Nous travaillons en mode agile, entourés par de la bonne cuisine, et d'excellents produits.{linebreak}{linebreak}Humble, rigoureux(se), et passionné(e), tu as envie de relever le challenge et de te faire plaisir, bienvenue !{linebreak}{linebreak}Tu sera accompagné par le CTO, au sein d'une équipe solide et expérimentée. Nous avons une stack très sympa : http://stackshare.io/nelio/nelio-next (React, GraphQL, ...). Nous souhaitons construire une belle équipe sur la durée.{linebreak}{linebreak}Voici les différentes missions, nous pourrons en discuter suivant ce que tu souhaites faire :{linebreak}{linebreak}{linebreak}* Developper de nouvelles fonctionalités en Web et Mobile, à partir de design sur https://zeplin.io/{linebreak}{linebreak}* Améliorer la sémantique du catalogue pour la recherche et préparer le Machine Learning, aidé par 15 foodies dévoués{linebreak}{linebreak}* Implementer une première série d'algo pour afficher le bon produit au bon client, à accompagner de cohortes clients{linebreak}{linebreak}* Optimiser les opérations et la montée en charge{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Rémunération suivant le profil, nous recherchons plusieurs profils en CDI, ou en stage de 3ème à 5ème année.{linebreak}{linebreak}Tu as envie d'en savoir plus ? Ou tu souhaites commencer dès demain ? Contacte-nous et on discutera de vive voix :){linebreak}{linebreak}Antoine Fraticelli{linebreak}CTO & Co-fondateur de Nelio{linebreak}antoine@nelio.io{linebreak}06 71 15 58 59{linebreak}www.nelio.io

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Zylab

verified

Data Science Graduation Program Internships


Zylab


data science

data science

11mo

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{linebreak}Would you like to join one of the most exciting and fast growing companies in the Netherlands? Would you like to be part of an international team of professionals and explore the frontiers of unstructured big-data based out of Amsterdam?{linebreak}{linebreak}For nearly 30 years, ZyLAB has been a visionary in the data science space; unstructured big-data in particular. We are a global leader in the development of award-winning search, text-mining, machine learning, and other artificial intelligence technology.{linebreak}{linebreak}With customers in 60 countries, our software is trusted by Fortune 1000 companies, law firms, courts, law enforcement agencies, and local and government agencies around the world.{linebreak}{linebreak}Recently, we started a new data science R&D department, which conducts research in the fields of intelligent search, information extraction (text-mining, semantic document representation methods, NLP, RDF), topic modeling (NMF, hierarchical clustering) and machine learning (SVM, Deep Learning, Maximal Entropy Modeling). This department is led by prof dr ir J.C. Scholtes, Chief Strategy Officer at ZyLAB and extraordinary professor in text-mining from the University of Maastricht.{linebreak}{linebreak}Currently, we are actively looking for graduate students and interns, who are looking for paid and interesting research projects. The internships will allow you to learn how data science technology is applied in commercial and government organizations for mission critical applications and at the same time execute thorough scientific research.{linebreak}{linebreak}Requirements:{linebreak}{linebreak}{linebreak}* BSc and MSc students on Dutch or Belgium Universities{linebreak}{linebreak}* Fields related to data science such as AI, computer science, text-mining, and data mining.{linebreak}{linebreak}* Excellent programming skills in C#{linebreak}{linebreak}* Able to work in Amsterdam minimally 1-2 days a week{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}If you are interested, please contact us at hrm@zylab.com, or reach out to us via our social media channels.

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Medsec.com

Data Scientist


Medsec.com


data science

data science

11mo

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{linebreak}We are looking for an excellent candidate to extract the business information from the large data-sets we are working with. The information that comes out of the data sets will enable our customers to protect the sensitive medical data that is held on their networks.{linebreak}{linebreak}Duties range from optimising data formatting within a no-SQL database, machine learning across different data sets, to working with fuzzy logic to reason with incomplete data.{linebreak}{linebreak}Experience{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}5+ years data processing experience{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Software development in C++/python/ruby{linebreak}{linebreak}{linebreak}* ElasticSearch / LogStash / kibana{linebreak}{linebreak}* {linebreak}{linebreak}Proven technical expertise{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Problem solving across a range of development challenges{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Excellent communication skills{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus experience{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Reverse engineering{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Networking protocols including TCP/IP{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Cyber-security experience{linebreak}{linebreak}{linebreak}{linebreak}

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Adroll

Senior Infrastructure Engineer Data Science


Adroll


data science

senior

engineer

data science

senior

engineer

12mo

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{linebreak}About the Role:{linebreak}{linebreak}The Data Science Engineering (DSE) team is responsible for the economics of AdRoll’s core product. Our in-house machine learning frameworks run over hundreds of terabytes of data daily, ensuring our pricing engine stays fresh and accurate as it bids on billions of ad opportunities. DSE Infrastructure members have a passion for technology and mathematics, keeping our machine learning and analysis pipelines humming at petabyte scales.{linebreak}{linebreak}AdRoll engineers are afforded significant autonomy. DSE Infrastructure engineers design their systems as they see fit, own their code, enable analysts to dive deep with ease, and ensure our hungry machine learning algorithms are fed. DSE Infrastructure engineers work on a variety of projects with data from disparate sources, but all at large scale.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Create systems that monitor dataflow on a real-time basis{linebreak}{linebreak}* Design pipelines that generate predictive models for a variety of signals and tasks{linebreak}{linebreak}* Architect systems that crunch data and provide queryable interfaces for stakeholders{linebreak}{linebreak}* Ensure signals robustly make it to online prediction tasks in real-time{linebreak}{linebreak}* Integrate with external data sources to feed into existing datasets{linebreak}{linebreak}* Engineer data formats that help answer analysis questions efficiently{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Qualifications:{linebreak}{linebreak}{linebreak}* BS in Computer Science or Computer Engineering{linebreak}{linebreak}* 3+ years experience with C, C++, Java, or other performant language{linebreak}{linebreak}* Experience with manipulating large datasets{linebreak}{linebreak}* Ability to architect scalable, high performance systems{linebreak}{linebreak}* Experience in distributed computing frameworks and paradigms{linebreak}{linebreak}* Enthusiasm to work in a fast-paced engineering team{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Bonus Points:{linebreak}{linebreak}{linebreak}* Working knowledge of machine learning and statistics{linebreak}{linebreak}* Understanding of online ad industry{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Compensation:{linebreak}{linebreak}{linebreak}* Competitive salary and equity{linebreak}{linebreak}* Medical / Dental / Vision benefits{linebreak}{linebreak}* Paid time off and generous holiday schedule{linebreak}{linebreak}* The opportunity to win the coveted Golden Bagel award{linebreak}{linebreak}{linebreak}

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Inmar

Senior Data Science Engineer


Inmar


data science

senior

engineer

data science

senior

engineer

12mo

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{linebreak}The Senior Data Science Engineer position is responsible for applying machine learning, data visualization, and other data science techniques to explore and create data-driven solutions to the problems and opportunities of Inmar’s business units, working closely with application engineering teams to bring those solutions to production. This role provides thought leadership on new products and solutions and identifies viable solutions through applied research.{linebreak}{linebreak}Major Responsibilities/Essential Functions:{linebreak}{linebreak}{linebreak}{linebreak}* Use data science techniques and tools to explore and create solutions{linebreak}{linebreak}* Identify, extract, clean, and transform data{linebreak}{linebreak}* Work with business units and others to understand the problem space and challenges{linebreak}{linebreak}* Work with application engineering teams to bring solutions to production{linebreak}{linebreak}* Publicize results and findings via reports, presentations, and technical specifications{linebreak}{linebreak}* Keep skills and knowledge up-to-date{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Education:{linebreak}{linebreak}{linebreak}* Required: Bachelor’s degree in Computer Science, Statistics, or any field with an applied quantitative and experimentation focus{linebreak}{linebreak}* Preferred: Masters or PhD in a quantitative and experimentation focused field{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Required Qualifications:{linebreak}{linebreak}{linebreak}{linebreak}* Extensive experience with machine learning, data visualization, and other data science techniques using Python, R, Scala, or other languages{linebreak}{linebreak}* In-depth experience with database systems, both SQL and NoSQL, including Hadoop-based systems{linebreak}{linebreak}* In-depth experience with software development (scripting, programming, versioning, testing, deploying, etc.) on Linux and Microsoft platforms{linebreak}{linebreak}* In-depth experience with data processing, extraction, cleansing, and transformation{linebreak}{linebreak}* Experienced at preparing reports and giving presentations for technical and non-technical audiences{linebreak}{linebreak}* Self-directed and curious, but must be able to function well as part of a team{linebreak}{linebreak}* Good understanding of the scientific method{linebreak}{linebreak}* Constant learner{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Preferred Qualifications:{linebreak}{linebreak}{linebreak}* Experience with the SCRUM/Agile process{linebreak}{linebreak}* Experience with Tableau or other data visualization dashboard tools{linebreak}{linebreak}* Experience with Ansible and other deployment automation tools{linebreak}{linebreak}* Experience with cloud-based platforms, such as Azure{linebreak}{linebreak}{linebreak}

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Achievement Network

Director Data Science Insights


Achievement Network


exec

data science

exec

data science

1yr

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{linebreak}Location:  Flexible (Boston, MA or New England region preferred){linebreak}{linebreak}Position available: November 2017{linebreak}{linebreak}THE OPPORTUNITY{linebreak}{linebreak}We are seeking a Director to join the Organizational  Effectiveness (OE) team.  The OE team ensures that ANet has the right goals that motivate and drive us to achieve our mission, spearheads our shared organizational focus on improving our core service model, and builds a research mindset and capability across ANet’s internal teams. This role reports to the Vice President, Org Effectiveness and is the ideal position for someone who has a passion for growing an organization’s confident use of data in order to shape strategic decisions and to deepen its long-term impact.{linebreak}{linebreak}ANet is flexible to remote working, with occasional travel to ANet’s National Office in Boston. Therefore, proximity to the New England area and/or eastern time zone is preferable.{linebreak}{linebreak}WHAT YOU’LL DO{linebreak}{linebreak}Examine our organizational impact on school performance and hone our organizational focus on impacting school practice{linebreak}{linebreak}{linebreak}* Lead organization-wide school and student learning impact reporting against annual goals  {linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Manage complex analyses to extract new insights and year-over-year data patterns that convey a clear, compelling picture of ANet’s national impact over time{linebreak}{linebreak}* Convey results on goals in a way that is user-friendly and compelling for internal teams  and that can be used for external generalist audiences (i.e. impact statements){linebreak}{linebreak}* Leverage strong visualizations and presentations to boost end user (primarily senior leadership & marketing/business development teams) comprehension of national impact results{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Lead impact analyses that test and improve ANet’s core service model{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Execute organization-wide annual analyses that identify the relationships between state assessment outcomes (student and school performance) and internal practice with inputs data sources (school demographic data, school practice data, partner school survey data, etc.){linebreak}{linebreak}* Conduct complex analyses to  extract relevant findings/insights and year-over-year data patterns to share with senior leadership tied to 2020 strategic plan and impact vision{linebreak}{linebreak}* Partner closely with key business leads to identify annual prioritized research questions, drawing from prior years’ results, annual strategic goals, and ongoing learning agenda priorities{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Lead reporting and analysis of ANet’s evolving non-core service model offerings to assess impact{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Lead long-cycle learning on ANet’s core service model, primarily via mix of data collection and analytic improvement strategies{linebreak}{linebreak}{linebreak}* Lead data characterization and analyses of newer ANet data sources to deepen ANet’s ability to test and improve its core service model{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Lead exploratory analyses of school partner data to produce new, actionable findings that accelerate improving ANet’s core service model and other service offerings{linebreak}{linebreak}* In collaboration with other OE team members and internal clients, set key research questions{linebreak}{linebreak}* Partner with key internal product and program teams to finalize use cases and baseline set definitions, metrics, and modes of analyses{linebreak}{linebreak}* Define reporting requirements for Engineering team{linebreak}{linebreak}* Examine and conduct feasibility checks of data in Google Analytics and identify and establish business and analytic rules for using tools such as unSampler{linebreak}{linebreak}* Explore opportunities with the Engineering team to identify longer-term data storage and cloud solutions{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}WHO YOU ARE & WHAT YOU BRING{linebreak}{linebreak}Must Have:{linebreak}{linebreak}{linebreak}* You have prior experience and success designing and leading internal program evaluations and/or business intelligence projects for scaling organizations.{linebreak}{linebreak}* You bring proficiency and versatility with Excel and at least one statistical analysis software package (R, SAS, Stata, or SPSS) and are confident in advising others on matching the right analytic tool to the analytic task at hand.{linebreak}{linebreak}* You are optimistic that all of our schools can be successful if we learn together and that comes through in your facility with analyzing information and communicating complex findings to both technical and non-technical audiences.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* You bring proficiency with data visualization software (i.e. Tableau) and website usage analytics and software tools (Google Analytics).{linebreak}{linebreak}* You are motivated by working in an environment where we live out our core values daily and are eager to examine personal archetypes and biases while discussing topics related to race, class, and privilege which relate to ANet’s Advance Equity and People Matter values{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Nice to Have:{linebreak}{linebreak}{linebreak}* Prior experience in a school, education, or non-profit setting{linebreak}{linebreak}* Degree in quantitative field, program evaluation, analytics, or statistics{linebreak}{linebreak}* Proficiency with unSampler{linebreak}{linebreak}* SQL proficiency{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}ANet is committed to maximizing the diversity of our organization. We are an equal opportunity employer and encourage individuals of all ethnic and racial backgrounds and gender identities to apply to our positions.

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REAN Cloud

Senior Data Scientist


REAN Cloud


data science

senior

data science

senior

1yr

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{linebreak}REAN Cloud is a Premier Amazon Web Services Provider and has grown over 500% in the past year and a half. That growth would not be possible without identifying top talent within one of the fastest growing verticals in technology. {linebreak}{linebreak}You would be collaborating with a talented, senior team providing best-in-class solutions for extremely complex problems and have the ability to work on the most cutting edge technology platforms and tools available. {linebreak}{linebreak}If you have experience automating large scale deployments with modern configuration and deployment management systems this could be the ideal role for you. REAN Cloud works with enterprise level organizations on some of the world’s largest automation and cloud deployment projects, and get to work with the coolest technologies throughout the process!{linebreak}{linebreak}Data Scientist{linebreak}{linebreak}Skills{linebreak}{linebreak}{linebreak}* Extensive background leading analysis and modeling to provide business insights{linebreak}{linebreak}* Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, and predictive modeling{linebreak}{linebreak}* Hands-on experience developing advanced descriptive, real-time and predictive analytics in SQL, R, Python, Hadoop, Spark, SparkML, Hive, Presto, MXNet, TensorFlow{linebreak}{linebreak}* Experience developing machine learning solutions{linebreak}{linebreak}* Proficient with SQL databases and knowledge of standard methodologies{linebreak}{linebreak}* Expertise in creation of insights with reports and dashboards using industry standard business intelligence tools like Tableau, Looker and Jupyter Notebooks{linebreak}{linebreak}* Experience with AWS data services like Kinesis, EMR, Redshift, Data Pipeline{linebreak}{linebreak}* Ability to work with development teams to deliver high-quality{linebreak}{linebreak}* Agile / Scrum development methodology{linebreak}{linebreak}* Excellent documentation habits{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Key Focus Areas{linebreak}{linebreak}{linebreak}* Advanced statistical techniques to create high performing predictive models and creative analyses to address business challenges{linebreak}{linebreak}* Business intelligence visualization of insights for customers{linebreak}{linebreak}* Consultative customer interactions and deliverables{linebreak}{linebreak}* Large-scale data management & workflow{linebreak}{linebreak}* Analytic development and automation{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}If this sounds like something you’d be interested in pursuing, please don’t hesitate to apply today! We are growing at an unprecedented rate and this is a great time to get in on the ground floor of something extremely exciting.

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{linebreak}We have lots of data organised in different databases on different platforms and in different formats. We need someone that can wrap their head around our data and likes working on different pieces of analysis. If you’re an organised data guru that can think outside of a box, join our data team.{linebreak}{linebreak}Location:{linebreak}Anywhere / remote{linebreak}We prefer that you are between UTC-3 and UTC-8{linebreak}If you prefer working in an office: Toronto or Grand Cayman are the options{linebreak}{linebreak}Responsibilities:{linebreak}You’ll be working with our Data Engineer and Data Visualisation Expert to create new pieces of analysis{linebreak}You’ll write Python scripts that pull data from APIs, websites via scraping, emails and then dump it into our Google BigQuery data warehouse.{linebreak}You’ll work closely with different stakeholders across the organisation to make us more efficient by automating reports and dashboards. {linebreak}You’re flexible and interested in different kind of problems: one day you might be building a solution for marketing, the next for our editorial team. {linebreak}You can extract valuable insights from large pools of data, as well as to articulate these insights to other staff members and executives{linebreak}You’ll will build some predictive models and answer questions around: Who will convert into a paying customer? What makes users post in our forums? Can we predict churn rates? What happens if we change X?{linebreak}{linebreak}Must-haves:{linebreak}Uber analytical{linebreak}SQL experience, even better: BigQuery. We’re not a fan of MS SQL :){linebreak}Python scripting experience well beyond print(‘Hello World’), pandas{linebreak}Experience with APIs, webscraping (selenium!){linebreak}Stats background, t-tests, regressions should be no brainers and random forests fun to walk through{linebreak}Some dashboarding experience, such as Google Data Studio{linebreak}You’re creative, both in making visualisations of complex questions and in solving problems{linebreak}Strong communicator{linebreak}Super organised{linebreak}A couple of years of experience with data wrangling{linebreak}{linebreak}Nice-to-haves:{linebreak}Remote working experience{linebreak}{linebreak}Who we are:{linebreak}With over 1,300 websites attracting more than 100 million monthly unique visitors, Toronto-based VerticalScope is one of the largest and fastest growing online publishers in North America. Our unique combination of wholly-owned community (forum) websites and professional content sites offers shoppers critical information that they can’t get from OEM sites or other interest-based portals, attracting a unique audience and blue chip advertisers seeking to reach them. These sites are organized into 9 different verticals including automotive, outdoors, powersports, pets, home, consumer technology and health & wellness, to name a few.{linebreak}{linebreak}{linebreak}How to apply:{linebreak}{linebreak}Send a brief email to data@verticalscope.com explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst.”{linebreak}

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Visit Verticalscope Inc.'s website

# How do you apply? Send a brief email to data@verticalscope.com explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst.”{linebreak}
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{linebreak}We have lots of data organised in different databases on different platforms and in different formats. We need someone that is super interested in financial data and can build out time series models of how our expenditure and revenue will evolve. If you’re an organised data guru that can think outside of a box, join our data team.{linebreak}{linebreak}Location:{linebreak}Anywhere / remote{linebreak}We prefer that you are between UTC-3 and UTC-8{linebreak}If you prefer working in an office: Toronto or Grand Cayman are the options{linebreak}{linebreak}Responsibilities:{linebreak}You’ll be working closely with Finance and executives to answer key financial questions. The data you own can be trusted and you’re diligent at pointing out any caveats or issues in the data.{linebreak}You’ll write Python scripts that pull data from APIs, websites via scraping, Google buckets and dumps it into our Google BigQuery data warehouse.{linebreak}You’ll work closely with different stakeholders across the organisation to make us more efficient by automating reports and dashboards. {linebreak}You’re flexible and interested in different kinds of problems. While your main area of expertise will be Finance, you might enjoy working on an impact study for Marketing {linebreak}You can extract valuable insights from large pools of data, as well as to articulate these insights to other staff members and executives in a non-technical way{linebreak}You’ll will build some predictive models and answer questions around: How do our acquisitions perform? Which acquisition will be the next superstar? What should our budget be?{linebreak}{linebreak}Must-haves:{linebreak}Uber analytical{linebreak}SQL experience, even better: BigQuery. We’re not a fan of MS SQL :){linebreak}Python scripting experience well beyond print(‘Hello World’), pandas{linebreak}Experience with APIs & web scraping (selenium!){linebreak}Stats background, t-tests, regressions should be no brainers and random forests fun to walk through{linebreak}Some dashboarding experience, such as Google Data Studio{linebreak}You’re creative, both in making visualisations of complex questions and in solving problems{linebreak}Strong communicator{linebreak}Super organised{linebreak}A couple of years of experience with data wrangling and financial data, particularly on the cost side{linebreak}{linebreak}Nice-to-haves:{linebreak}MS Great Plains / Dynamics experience{linebreak}Knowledge of Aria, Zuora or other subscription billing platforms{linebreak}Experience with payment gateway sources such as Braintree or Vantiv{linebreak}Remote working experience{linebreak}{linebreak}Who we are:{linebreak}With over 1,300 websites attracting more than 100 million monthly unique visitors, Toronto-based VerticalScope is one of the largest and fastest growing online publishers in North America. Our unique combination of wholly-owned community (forum) websites and professional content sites offers shoppers critical information that they can’t get from OEM sites or other interest-based portals, attracting a unique audience and blue chip advertisers seeking to reach them. These sites are organized into 9 different verticals including automotive, outdoors, powersports, pets, home, consumer technology and health & wellness, to name a few.{linebreak}{linebreak}{linebreak}How to apply:{linebreak}{linebreak}Send a brief email to data@verticalscope.com explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst and Engineer - Finance.”{linebreak}{linebreak}

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Visit Verticalscope Inc.'s website

# How do you apply? Send a brief email to data@verticalscope.com explaining why you’d like to work with us and why we should hire you. Make sure the subject line is “Data Analyst and Engineer - Finance.”{linebreak}
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As a Product Manager at CROmetrics, you will be a hybrid product manager, strategic thinker, account manager and data analyst. Your primary role is to partner with our clients to improve their websites through data-driven experimentation and personalization. A Product Manager spends much of their time interfacing with clients, designers and engineers. On the client side, the PM must be able to generate data-driven ideas that will improve revenue and other key metrics on client websites.{linebreak}{linebreak}*This position is fully remote and open to U.S.-based applicants only. Please note that we don’t hire external or offshore development agencies or use third party recruiters.*{linebreak}{linebreak}As a PM, you will be leading all A/B testing and personalization experimentation for the client, which includes the following:{linebreak}+ Partnering with the client for the ideation, prioritization, road-mapping, design, and approval process for all hypotheses generation and experimentation{linebreak}+ Diving deep into the results to deliver the data story, learnings and recommendations from the experiment{linebreak}+ Collaborating with a remote team of engineers, designers and other PMs to support experiment ideation and execution{linebreak}+ Managing all aspects of the client relationship from daily experiment monitoring to kicking off the renewal process to evangelizing the value of CROmetrics{linebreak}{linebreak}### In addition, as a CROmetrics team member, you will:{linebreak}+ Support the professional growth of the team through leading and/or participating in ongoing training, e.g. book club{linebreak}+ Engage in non-client related activities that help grow our business, e.g. writing the PM job description or delivering hypotheses and mock-ups for a sales deck{linebreak}+ Actively participate in our remote culture{linebreak}{linebreak}### Who we’re looking for{linebreak}Our most successful candidates have the following skills/experience/traits:{linebreak}+ 5+ years of professional experience working in digital product management, user experience design or similar roles on consumer-facing web products{linebreak}+ Demonstrated extremely strong presentation and communication skills{linebreak}+ Built and delivered product roadmaps full of winning and losing ideas{linebreak}+ Passion for using data to improve user experiences{linebreak}+ Hands-on experience analyzing digital business data to inform decisions and plan strategically{linebreak}+ Worked cross-functionally in a highly collaborative environment, preferably in a remote capacity{linebreak}+ Genuinely like working with clients and their distributed stakeholder groups{linebreak}+ Love product strategy, but obsessed with the details on execution{linebreak}+ Lifelong learner{linebreak}{linebreak}### Our Culture{linebreak}+ We’re a remote company. We are spread out all over the country and enjoy the flexibility remote working affords. Want to go on a mountain bike ride in the middle of the day? Cool, don’t forget your helmet! Need to pick the kids up from school? Nice, you’ve got parent of the year in the bag. We stay connected through Slack and workcations, including one annual trip that is funded by the company.{linebreak}+ Our engineers value elegant code, but move fast. We’re writing code that runs on top of existing websites. Some tests only run for a few days before disappearing (though some do so well they become a permanent part of the client’s site). If “minimum viable product” isn’t in your lexicon, you aren’t a good fit.{linebreak}+ Communication is critical. We’re a remote company. That makes communication — including writing and reading comprehension — extremely important. You’ll work closely with engineers, designers and writers. This is not a simple “write specs and close tickets” gig. Successful applicants enjoy the process of defining and clarifying specs, documenting processes, improving processes, seeing their ideas and work affect millions of users, and uploading custom emoji to Slack.{linebreak}+ We’re relentlessly focused on our client’s happiness. The PM is a client-facing role. Managing a client relationship virtually takes a different type of skill set – the PMs have to be both a strategic partner, the customer (represented by the data), teacher and project manager over the phone/email/Slack, all while delivering an exceptional level of service. This type of interaction is not for everyone, and we completely understand. It’s not easy!{linebreak}+ We are not perfect. A the core of experimentation is the lesson to be learned from the test, whether a win, loss or inconclusive. We extend this concept to everything we do by setting the bar high for our team and fostering an environment of radical candor and constant learning.{linebreak}This short essay sums up the philosophy we operate by: [A Message to Garcia](http://www.nato.int/nrdc-it/about/message_to_garcia.pdf). Sound like something you are interested in? Read on.

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# How do you apply? ## A unique application and hiring process, just like us{linebreak}We’re glad you’re interested in working with us. We have a fairly unusual hiring process, but it has proven to work well both for us and for potential new hires. We have found that demonstrating basic competency is the best predictor of initial qualification for working with us, followed by actual work.{linebreak}Our process reflects that. We’ve outlined our values and how we work above, and now we will ask you to complete a couple small tasks to show us you’re interested.{linebreak}### Create A Work Sample{linebreak}The following is a typical task you would be doing on a daily basis. Follow the steps below to see if this type of work interests you and is a good fit.{linebreak}We want to know how you think about designing elegant product solutions focused around increasing conversions.{linebreak}Here is the website for one of our clients: [Hired.com](https://hired.com/). Hired spends a lot of money (e.g. through paid ads) to drive applicants, primarily software engineers, to their site. Their goal is to increase the number of leads/applicants that complete the signup flow and are ready to be hired.{linebreak}1. Your first task is to come up with a hypothesis backlog of at least 6-8 ideas you have for improving conversions for the Hired.com. An example of a hypothesis is: “Adding a video to the Hired website will help job candidates understand how Hired works and therefore, increase conversions.”{linebreak}2. Once you’ve developed your hypothesis backlog, choose one of the ideas that you believe is most likely to increase leads.{linebreak}3. Write a spec for your chosen idea comprised of the user story, any supporting data, expected user or page interactions, engineering notes, etc. Optionally, you may also produce a wireframe and/or a visual to go along with your spec, using any number of UX tools such as Axure, Balsamiq, Invision or even simple pen/paper sketching. Just be sure to submit your spec as an image so anyone can view it without special software.{linebreak}In a real-life client situation, you will work with the client to create a testing roadmap supported by data that aligns with the client’s KPI’s. You’ll then write a spec for the experiments, and will work with engineering to implement and QA the experiment. Once the test is implemented, you’ll run an A/B test, share the results with the client, draw insights from the test, and develop new ideas for testing.{linebreak}### Email Application{linebreak}When you’ve completed your hypothesis backlog and spec, please send an email to tom@crometrics.com and chris@crometrics.com. In the email, include the following:{linebreak}+ A paragraph that tells us a little about yourself and why you are interested in this job{linebreak}+ Desired pay and general availability{linebreak}+ Resume and/or link to your LinkedIn/Twitter/whatever profile{linebreak}+ The hypothesis/ideas backlog you created for Hired.com{linebreak}+ The spec/wireframe for one of your top hypotheses{linebreak}### Paid Interview{linebreak}Assuming your submission exceeds expectations, we will reach out to schedule a few informal conversations with our team to learn more about you, and provide an opportunity for you to ask questions of us. If all goes well for both you and CROmetrics, we will hire you for a “paid interview” where you start working with us for a small number of hours each week as a 1099 contractor. This can be done on the side of your current full-time job so there is less risk to you.{linebreak}If both parties like working together, we expand the relationship based on the type of position you desire. Either more hours as a part-time contractor, or becoming a full-time W-2 employee. If not, we go our separate ways and both sides “won” in the deal. Thanks again for your interest in the Growth Product Manager position with CROmetrics. We look forward to hearing from you!
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Thinkful

Contract Data Science Bootcamp Mentor


Thinkful


data science

data science

1yr

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Contract: Data Science Bootcamp Mentor at Thinkful Inc. in Remote-U.S.A.

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Semanticbits

Data Scientist Engineer


Semanticbits


data science

engineer

data science

engineer

1yr

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{linebreak}SemanticBits is looking for a Data Scientist eager to use advanced analytical, machine learning 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. In some instances, you will be using languages like R or Python to employ newer techniques like tree ensembles, neural nets, and clustering to solve long-standing questions. In other instances, it will be your responsibility to come up with solutions for problems that have not yet been identified. In order to do so, the Data Scientist will have to be confident that they can solve a wide-range of problems using a variety of techniques—some known, some new, some yet to be created.

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Paktor Labs

Lead Data Scientist


Paktor Labs


exec

data science

exec

data science

2yr

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Full Time: Lead Data Scientist at Paktor Labs in Singapore , remote

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HigherEducation.com partners with many of the most recognizable names in the online education industry to help them build their programs and expand student bases with our 75M annual site visitors. We also love to use cutting edge technologies to make developer life enjoyable and more productive.{linebreak}{linebreak}We’re looking for an experienced, hands-on hybrid role of JavaScript Engineer and data scientist to join a major initiative at a critical point in our company’s growth. The ideal candidate (which means you, right?) will be responsible for debugging existing code bases and innovating new solutions through data science research. Other duties include enhancing & maintaining the core product, creating & maintaining the tests for various code repositories,{linebreak}{linebreak}The position requires:{linebreak}- Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) or at least 5 years of development experience in a challenging, fast paced environment.{linebreak}- Demonstrated advanced proficiency in one or more of the following fields: Natural Language -{linebreak} Processing, Machine Learning, Deep Learning, Recommendation Systems.{linebreak}- Server-side JavaScript (e.g. Node.js - Express, Koa, Hapi).{linebreak}- Client-side JavaScript (e.g. React, MobX, Redux).{linebreak}- Build tools (e.g. Gulp, Grunt, Browserify, Webpack).{linebreak}- Exposure to AWS or other cloud platforms a plus.{linebreak}{linebreak}{linebreak}Desired qualifications include experience with:{linebreak}- Advanced degree is a plus but you're not just an academic -- you have hands-on software engineering experience applying complex algorithms to real-world problems at scale.{linebreak}- Work effectively in agile teams; get stuff done with minimal guidance and zero BS, help others and know when to ask for help. Clearly communicate complex technical and product issues to non-technical team members, clients, etc.{linebreak}- Bonus points for experience implementing machine learning algos on GPU's or other hardware acceleration!{linebreak}{linebreak}{linebreak}What it's like {linebreak}{linebreak}Last year, we had a blast. We personally enjoy getting rid of legacy code & turning servers off in favor of clean, new, tested services.{linebreak}{linebreak}Each project is fairly small in scope with a large amount of flexibility and freedom to discuss & find the best architecture for the job and for the team. Usually, a single person heads up a project, collaborates with another for architecture & solutions, and eagerly looks forward to launching (rather than endlessly polishing).{linebreak}{linebreak}- Slack for conversations.{linebreak}- Asana for project tracking & deliverables.{linebreak}- Github for code collaboration.{linebreak}- DroneCI for CI & CD.{linebreak}{linebreak}Being in a USA timezone is highly desirable.{linebreak}{linebreak}{linebreak}For example...{linebreak}{linebreak}In 2016 we...{linebreak}{linebreak}- Built and deployed a central platform for managing monetization across our portfolio.{linebreak}- Broke up an old monolith into smaller Docker services running on Rancher and got a solid, always-deploying CI/CD pipeline.{linebreak}- Established a lightweight Agile process to aid developer efficiency from initiative to initiative.{linebreak}- Worked with in house teams to conduct research in the frame of Recommendation Systems with a working prototype.{linebreak}{linebreak}In 2017 we're...{linebreak}{linebreak}- Building applications to expand the business into areas of organic growth.{linebreak}- Refactoring and simplifying our micro-services ecosystem.{linebreak}- Doubling down in a robust product recommendation approach to better serve our users.{linebreak}{linebreak}{linebreak}Human Environment{linebreak}{linebreak}- Centrally located in downtown Houston, free employee parking.{linebreak}- Coed work environment, casual dress code.{linebreak}- Cool office perks (e.g. sodas & coffee, happy hours, etc.).{linebreak}- Generous salary considerations & full benefits.{linebreak}- 6% 401k matching{linebreak}- 100% health / vision / dental for you & subsidies for the rest of your family{linebreak}- 15 vacation & sick days / yr.{linebreak}- Gym membership reimbursement up to $100/mo{linebreak}{linebreak}{linebreak}What We Value{linebreak}{linebreak}We love to work as a team but office hours are flexible. Producing is more important than meeting a 9 to 5 schedule. We understand there are moments when you need to isolate yourself to concentrate so working from home is permitted and encouraged.{linebreak}{linebreak}We like to have a good time and minimize stress with good in-office coffee, ping pong, lounge/reading time and regular happy hours. We work hard and meet realistic deadlines. What good is delivering a poor product early?{linebreak}{linebreak}We also understand that family is important, so time-shifting (and sometimes day-shifting) is necessary to deliver for both the team & your family.{linebreak}{linebreak}

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Visit Highereducation.com's website

# How do you apply? Please send a resume to mcomardo@highereducation.com
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Toptal

Data Scientist


Toptal


data science

data science

2yr

Apply

{linebreak}At Toptal, we measure everything and always rely on data to guide all of our initiatives, including both our long-term strategy and our day-to-day operations. As a Data Scientist on our Analytics Team, you will be working with our cross-functional team to model complex problems, discover actionable business insights, and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and operations across the company. We have freedom to choose the best tool for the job. That’s why:{linebreak}{linebreak}{linebreak}* Our infrastructure is in Google Cloud Platform{linebreak}{linebreak}* For research we leverage both Python and R{linebreak}{linebreak}* Our ETL pipelines and production models are in Python and Scala{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}The ultimate goal is solving real business problems. We work on problems that deeply affect the operation of our business. This ranges from predictive models, controlling and optimizing the client flow, and other very open-ended questions. For example, our stakeholders may ask if it is feasible to pursue a certain business direction and, if so, what are the implications on business processes and the costs of moving to that solution.{linebreak}{linebreak}{linebreak}This is a remote position that can be done from anywhere. However, we do things like [rent out hotels in Africa or mansions in Thailand](https://www.toptal.com/remote/the-ultimate-remote-culture), and you will certainly be invited to come work with us.

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Thinkful

Data Science Mentor


Thinkful


data science

data science

2yr

Apply

{linebreak}Mentor aspiring Data Scientists enrolled in Thinkful's Data Science School!{linebreak}{linebreak}The intensive, 4-6 month course helps students become self-sufficient data scientists  capable of advancing their skills as they grow in their careers for years to come. As a Mentor, you will support students while they build projects as they master data science fundamentals. Ultimately, share best practices with the next generation of developers and teach them how to think like a data scientists so that they can continue their growth beyond the program.{linebreak}{linebreak}Thinkful mentors work remotely and set their own hours. The role is a great fit for experts who genuinely love their work and want to share their expertise, experience, and themselves with awesome students and fellow mentors from around the globe!

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Zapier

Senior Data Science Engineer


Zapier


data science

senior

engineer

data science

senior

engineer

2yr

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{linebreak}Hello! I'm Mike Knoop with the Product Team at Zapier. We're looking for someone to join our Data Team who can help us maintain, design and launch new data pipelines for our product that helps 1.5 million users (and growing) automate their tedious, everyday tasks so they spend less time working extra hours and more time enjoying what matters to them.  You’ll design and improve our data operations and you’ll get to work in the main Zapier code base as well as the Data Team’s R code base. You’ll have the opportunity to learn and work with Airflow, Kafka, Spark, Secor, Kubernetes, Docker, Redis, Redshift, MySQL, AWS and more.  If that sounds exciting to you, keep reading!{linebreak}{linebreak}We're a widespread remote team of 62 people, located in eleven countries, that think computers should do more work. The Data Team currently has team members in Texas and Alabama. You don't have to be located in the USA, you just have to be talented!{linebreak}{linebreak}We get together 2-3 per year for a company retreat (next one in is January), and benefits include great healthcare, dental and vision coverage, 401k retirement plan with company match, profit sharing and 14 weeks paid leave for new parents.{linebreak}{linebreak}If you're interested in learning more about our Senior Data Engineer Role, visit the Jobs @ Zapier site.{linebreak}{linebreak}We're not accepting applications from agencies.

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Adroll

Senior Data Science Engineer


Adroll


data science

senior

engineer

data science

senior

engineer

2yr

Apply

{linebreak}About the Role:{linebreak}{linebreak}The Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product.  Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.{linebreak}{linebreak}Current members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.{linebreak}{linebreak}Moreover, AdRoll Engineering is broken out into small teams that have significant autonomy. We like to think of Data Science Engineering as a 'startup within AdRoll.' You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on AdRoll's core metrics.{linebreak}{linebreak}Data Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.{linebreak}{linebreak}Current projects include:{linebreak}{linebreak}{linebreak}* Enhancing our machine learning software with the latest in machine learning algorithms{linebreak}{linebreak}* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions{linebreak}{linebreak}* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.{linebreak}{linebreak}* Performing automated market analyses to dynamically react to changing market conditions{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Discover new predictive insights in our dataset{linebreak}{linebreak}* Design systems that regularly compute new predictive models{linebreak}{linebreak}* Read and conduct research to develop mathematical solutions to our most pressing problems{linebreak}{linebreak}* Engineer to put your research into practice{linebreak}{linebreak}* Ownership of a system that is the core of our intelligence products{linebreak}{linebreak}{linebreak}

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Thinkful

Data Science Bootcamp Mentor


Thinkful


data science

data science

2yr

Apply

{linebreak}Mentor aspiring Data Scientists in Thinkful's Data Science Bootcamp!{linebreak}{linebreak}The intensive, 4-6 month course helps students become self-sufficient data scientists  capable of advancing their skills as they grow in their careers for years to come. As a Mentor, you will support students while they build projects as they master data science fundamentals. Ultimately, share best practices with the next generation of developers and teach them how to think like a data scientists so that they can continue their growth beyond the program.{linebreak}{linebreak}Thinkful mentors work remotely and set their own hours. The role is a great fit for experts who genuinely love their work and want to share their expertise, experience, and themselves with awesome students and fellow mentors from around the globe!

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Elastic

Data Scientist For Elastic


Elastic


data science

data science

2yr

Apply

{linebreak}With the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future. And in order to get there, our team is looking to hire an exceptional Data Scientist to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering.{linebreak}{linebreak}Your Role:{linebreak}{linebreak}As a Data Scientist you will contribute to the Machine Learning team within Elastic by performing data analysis on large and complex datasets and represent findings effectively and clearly to various audiences.{linebreak}{linebreak}To succeed in this role, you will be driven by a genuine interest for understanding and exploring data. You must be able to interpret customer requirements and map these to deliver real business value. Our ideal candidate must strive to seek answers to questions about data that the customer has both asked for, or didn’t yet know they needed.{linebreak}{linebreak}Typical projects you will be involved in will include:{linebreak}{linebreak}{linebreak}* Extracting valuable insight from real-world datasets. For example,{linebreak}{linebreak}{linebreak}* Understanding customer use cases{linebreak}{linebreak}* Transforming customer data{linebreak}{linebreak}* Analysing customer data using Prelert and/or other statistical tools{linebreak}{linebreak}* Examining Prelert models and results{linebreak}{linebreak}* Summarise dataset and valuable insights extracted from datasets.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Data extract, transform and load activity on large datasets{linebreak}{linebreak}* Generate test data sets for validating analytical functions and methods{linebreak}{linebreak}* Support engineers in development of big data anomaly detection analytic systems{linebreak}{linebreak}{linebreak}

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Elastic

Data Scientist


Elastic


data science

data science

2yr

Apply

{linebreak}With the recent addition of Prelert to Elastic, we now have a fully dedicated Machine Learning team in house. Our goal is to further expand our capabilities in developing technologies that allow users to better understand the behavior of their data. Our team has developed an unsupervised machine learning engine that can plow through large amounts of data and automatically find those insights our users today have been proactively finding using search. Current use cases include finding anomalies within transactions / operational metrics, detecting uncharacteristic user behavior, finding a population of attacking IP addresses but we are looking forward to expanding our capabilities to many more in the future. And in order to get there, our team is looking to hire an exceptional Data Scientist to join them. This is an amazing opportunity to join a small, highly experienced team where you can make an immediate impact and contribution to the core of our new machine learning offering.{linebreak}{linebreak}Your Role:{linebreak}{linebreak}As a Data Scientist you will contribute to the Machine Learning team within Elastic by performing data analysis on large and complex datasets and represent findings effectively and clearly to various audiences.{linebreak}{linebreak}To succeed in this role, you will be driven by a genuine interest for understanding and exploring data. You must be able to interpret customer requirements and map these to deliver real business value. Our ideal candidate must strive to seek answers to questions about data that the customer has both asked for, or didn’t yet know they needed.{linebreak}{linebreak}Typical projects you will be involved in will include:{linebreak}{linebreak}{linebreak}* Extracting valuable insight from real-world datasets. For example,{linebreak}{linebreak}{linebreak}* Understanding customer use cases{linebreak}{linebreak}* Transforming customer data{linebreak}{linebreak}* Analysing customer data using Prelert and/or other statistical tools{linebreak}{linebreak}* Examining Prelert models and results{linebreak}{linebreak}* Summarise dataset and valuable insights extracted from datasets.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Data extract, transform and load activity on large datasets{linebreak}{linebreak}* Generate test data sets for validating analytical functions and methods{linebreak}{linebreak}* Support engineers in development of big data anomaly detection analytic systems{linebreak}{linebreak}{linebreak}

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Rxspeed.com

Data Science Engineer


Rxspeed.com


data science

engineer

data science

engineer

2yr

Apply

{linebreak}**NO RECRUITERS**{linebreak}{linebreak}Based in Stamford, Connecticut, RxSpeed Inc. is a venture-backed startup developing software for the automotive aftermarket. If you know someone who has modified the look or performance of their vehicle, we serve companies within the $40 billion annual auto parts industry commonly known as SEMA.  {linebreak}{linebreak}Data Scientist{linebreak}{linebreak}RxSpeed is looking for a Data Scientist with Machine Learning experience.  They will lead development and execution of highly complex algorithms and statistical predictive models to determine analytical approaches along with modeling techniques within the automotive industry.  Lead and develop highly scalable classifiers and tools leveraging machine learning, data regressions, and rules based models.

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Automattic

verified

Marketing Data Analyst


Automattic


data science

marketing

analyst

non tech

data science

marketing

analyst

non tech

2yr
{linebreak}{linebreak}Automattic is looking for a data analyst to join the marketing team. You will distill data into actionable insights to guide our customer marketing and retention strategy as well as inform product development efforts.{linebreak}{linebreak}Primary responsibilities include:{linebreak}{linebreak}Build and maintain standardized reporting on key metrics across the customer lifecycle.{linebreak}{linebreak}Develop customer segmentation models to inform tailored, multi-channel marketing strategies.{linebreak}{linebreak}Conduct ad hoc analyses to better understand customer behavior, needs, and individual test results.{linebreak}{linebreak}Partner with other analysts and developers to increase data accessibility across the organization.{linebreak}{linebreak}Design a process for prioritizing and communicating data requests and priorities.{linebreak}{linebreak}You:{linebreak}{linebreak}Are proficient in SQL and Excel.{linebreak}{linebreak}Have experience with web analytics platforms such as: Google Analytics, KISSmetrics, or Mixpanel.{linebreak}{linebreak}Have experience working with marketing teams to deliver analyses and answer business questions.{linebreak}{linebreak}Are able to communicate data in a way that is easy to understand and presents clear recommendations.{linebreak}{linebreak}Are highly collaborative and experienced in working with business owners, executives, developers and creatives to discuss data, strategy and tests.{linebreak}{linebreak}Have excellent prioritization and communication skills.{linebreak}{linebreak}Ideally, have web development experience (though not required).{linebreak}{linebreak}Like all positions at Automattic, you’ll work remotely, and can be based wherever you live. It’s not a requirement that you live in or relocate to the Bay Area to do this job.{linebreak}{linebreak}How to Apply{linebreak}{linebreak}Does this sound interesting? If yes, please send a short email to jobs @ this domain telling us about yourself and attach a résumé. Let us know what you can contribute to the team. Include the title of the position you’re applying for and your name in the subject. Proofread! Make sure you spell and capitalize WordPress and Automattic correctly. We are lucky to receive hundreds of applications for every position, so try to make your application stand out. If you apply for multiple positions or send multiple emails there will be one reply.{linebreak}{linebreak}{linebreak}{linebreak}If you're reading this on a site other than automattic.com please make sure you visit automattic.com/work-with-us for the latest details on applying. {linebreak}{linebreak}Want to increase your chances of standing out? If so, please address some or all of following points in your application:{linebreak}{linebreak}If you were doing the job described above,  how would you approach evaluating the effectiveness of an email campaign designed to improve retention?{linebreak}{linebreak}Tell us about an experience you’ve had using data to inform product or marketing decisions.{linebreak}{linebreak}← Work With Us{linebreak}{linebreak}

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Wallethub

Senior Data Scientist


Wallethub


data science

senior

data science

senior

2yr

Apply

{linebreak}WalletHub is a high-growth start-up based in Washington, D.C. .Our fast-paced environment and can do attitude have already earned us several prestigious awards including this year's Gold Stevie for best financial services website from the American Business Awards and a gold medal as one of the products of the year from the Consumer World Awards.  We're seeking hardworking, like-minded individuals to help us disrupt personal finance and make a tangible difference in people's everyday lives.{linebreak}{linebreak}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:{linebreak}{linebreak}* Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.{linebreak}{linebreak}* Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.{linebreak}{linebreak}* Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.{linebreak}{linebreak}{linebreak}{linebreak}In 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.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Model complex problems, discover insights and identify opportunities through the use of statistical, algorithmic, mining and visualization techniques{linebreak}{linebreak}* Participates in the areas of architecture, design, implementation, and testing{linebreak}{linebreak}* Proposes innovative ways to look at problems by using data mining approaches on the set of information available{linebreak}{linebreak}* Designs experiments, tests hypotheses, and builds models.{linebreak}{linebreak}* Conducts advanced data analysis and designs highly complex algorithm.{linebreak}{linebreak}* Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Note: 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, D.C. Expected work schedule is 45 to 50 hours per week.{linebreak}{linebreak}What we offer:{linebreak}{linebreak}{linebreak}* Competitive compensation{linebreak}{linebreak}* Stock options{linebreak}{linebreak}* Visa sponsorship for non U.S. candidates after 18 months{linebreak}{linebreak}{linebreak}

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Loci

Data Scientist Algorithms Heuristics Senior Developer


Loci


data science

senior

dev

digital nomad

data science

senior

dev

digital nomad

2yr

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{linebreak}This is an exciting opportunity to work on a platform accelerating technology innovation and serving your fellow engineers and entrepreneurs, and ultimately has high impact on the world, helping to solve the big problems. As an early stage company, Loci is a remote team (Northern Virginia based) tackling the large challenge of a getting a high growth company through early structuring. For early team members, there is virtually unlimited potential for growth. We are offering flexibility, equity, and salary components to facilitate getting the right team members on board, and in place for an exciting ride.{linebreak}{linebreak}Loci is seeking a Senior Developer and Data Scientist to help realize our product. At the core of our platform, a set of heuristics and algorithms express relationships among products, concepts, inventors, investors, etc. This algorithmic core is expressed in an extensive patent with related documentation and must be implemented to support a larger platform, including a novel search engine with crowdsourcing and other interesting functions. This will require math skills, algorithms, machine learning, communication skills, etc. and extremely talented and independent thinking engineers.

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Divergent Strategies

Data Scientist For Social App


Divergent Strategies


data science

data science

2yr

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{linebreak}We believe in questioning paradigms and are developing an app that challenges widely held beliefs about social media. By daring to do 'social' differently, we solve many of the problems that are hindering social media's evolution. You will be joining a sophisticated team of developers, data scientists and entrepreneurs for the final stage of the app's development.   We are located in Los Angeles and prefer candidates from the area.

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Lynda

Author Data Science Videos From Linkedin


Lynda


data science

data science

2yr

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{linebreak}Transform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!{linebreak}{linebreak}Please note that this is a contract-based course instructor role, not an in-house developer position.{linebreak}{linebreak}At Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.{linebreak}{linebreak}Are you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.{linebreak}{linebreak}If you have a passion for and experience working with these technologies, let’s talk!{linebreak}{linebreak}{linebreak}* Matlab{linebreak}{linebreak}* DevOps in data science{linebreak}{linebreak}* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al){linebreak}{linebreak}* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning{linebreak}{linebreak}* QlikView and Qlik Sense{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}As a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?{linebreak}{linebreak}Join our passionate and experienced team of educators and technologists!

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Lynda

Data Science Author Opportunity From Linkedin


Lynda


data science

data science

2yr

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{linebreak}Transform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!{linebreak}{linebreak}At Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.{linebreak}{linebreak}Are you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.{linebreak}{linebreak}If you have a passion for and experience working with these technologies, let’s talk!{linebreak}{linebreak}{linebreak}* Matlab{linebreak}{linebreak}* DevOps in data science{linebreak}{linebreak}* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al){linebreak}{linebreak}* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning{linebreak}{linebreak}* QlikView and Qlik Sense{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}As a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?{linebreak}{linebreak}Join our passionate and experienced team of educators and technologists!

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Autoloop

Junior Data Scientist


Autoloop


data science

junior

data science

junior

2yr

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{linebreak}AutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist / Data Analyst to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Collaborate with software developers to plan and construct the architecture surrounding model deployment.{linebreak}{linebreak}* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.{linebreak}{linebreak}* Design and implement creative approaches to predictive modeling problems.{linebreak}{linebreak}* Manipulate data to engineer new features and uncover insights.{linebreak}{linebreak}* Acquire any specialized domain knowledge required to be more effective in all required activities.{linebreak}{linebreak}{linebreak}

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Autoloop

Data Scientist


Autoloop


data science

data science

2yr

Apply

{linebreak}AutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Collaborate with software developers to plan and construct the architecture surrounding model deployment.{linebreak}{linebreak}* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.{linebreak}{linebreak}* Design and implement creative approaches to predictive modeling problems.{linebreak}{linebreak}* Manipulate data to engineer new features and uncover insights.{linebreak}{linebreak}* Acquire any specialized domain knowledge required to be more effective in all required activities.{linebreak}{linebreak}{linebreak}

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Autoloop

Data Analyst Scientist


Autoloop


data science

analyst

data science

analyst

2yr

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{linebreak}AutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL. We are open to telecommuters for this position. Remote candidates need a dedicated office at home, a fast, reliable internet connection, and a good setup for Skype chats. We use Skype during interviews, and good video/audio quality is absolutely necessary.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Collaborate with software developers to plan and construct the architecture surrounding model deployment.{linebreak}{linebreak}* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.{linebreak}{linebreak}* Design and implement creative approaches to predictive modeling problems.{linebreak}{linebreak}* Manipulate data to engineer new features and uncover insights.{linebreak}{linebreak}* Acquire any specialized domain knowledge required to be more effective in all required activities.{linebreak}{linebreak}{linebreak}

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Datarobot

Customer Facing Data Scientist


Datarobot


data science

data science

2yr

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{linebreak}As a Customer Facing Data Scientists you will be expected to work with the Field Sales team members and lead Junior Sales Engineers in developing opportunities, analyzing customer requirements, and providing consultative selling skills in complex technical environments. You will be comfortable leading technical demonstrations of DataRobot. You will work with prospects and clients to extract and transform representative datasets for use in technical demonstrations. You will be responsible for architecting solutions to complex predictive analytics problems involving many diverse input data sources and high volume real-time implementation scenarios.

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Totvs Labs

Data Scientist


Totvs Labs


data science

data science

2yr

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{linebreak}Who we are{linebreak}{linebreak}At TOTVS Labs we are building a platform that combines data with AI. We democrtizing access to AI to hundreds of thousands of companies worldwide in several industries, such as Manufacturing, Financial Services, Retail, Health and Education. You can learn more here: www.fluigdata.com.{linebreak}{linebreak}We are looking for a smart, self-motivated, and enthusiastic individual to join us on the journey in building the artificial intelligence of the future. You’ll get to work side by side with a small team moving at breakneck speed.{linebreak}{linebreak}A Data Scientist will{linebreak}{linebreak}{linebreak}* Design, develop and implement statistical models to carry out various novel aspects of problems related to industries like Manufacturing, Retail, Health and Education.{linebreak}{linebreak}* Using a combination of judgement and experience, create hypotheses to confront complex Natural Language Processing problems{linebreak}{linebreak}* Be capable of designing stringent tests of these hypothesis and use results to guide further development towards performance optimization{linebreak}{linebreak}* Familiar with or eager to learn various advanced statistical techniques to solve different optimization and constraint problems related to automating the coordination of people’s schedules and derivation of implicit and explicit preferences from email-related data{linebreak}{linebreak}* Be capable of visualizing and communicating data science concepts to other team members, and seek meaningful feedback from them{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Ideal Candidate{linebreak}{linebreak}{linebreak}* PhD in quantitative degree and/or relevant experience{linebreak}{linebreak}* Strong statistics background, ideally experience with Natural Language Processing techniques; loves building mathematical and probabilistic models and algorithms{linebreak}{linebreak}* Code experience in a production environment; familiar with data structures, parallelism and concurrency{linebreak}{linebreak}* Intellectually curious, collaborative, self-motivated, fast learner that comfortable working in a dynamic environment tackling challenging problems{linebreak}{linebreak}* Bonus: Experience with Scala, Spark, AWS, and CouchBase; implementation experience with supervised and unsupervised machine learning algorithms{linebreak}{linebreak}{linebreak}

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Github

Senior Data Scientist


Github


data science

senior

data science

senior

3yr

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Full Time: Senior Data Scientist at GitHub in San Francisco, California or Remote

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Zapier

verified

Data Scientist


Zapier


data science

data science

3yr

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{linebreak}We're looking for a Data Scientist to join Zapier. Interested in supporting a product that helps the world automate their work so they can get back to living? Then read on...{linebreak}{linebreak}You're both passionate about business and statistics. You're a maker and self-learner. Most of what you'll do is identify and prioritize our most valuable business problems, analyze the related data, and communicate actions teammates should take in response. Today, Zapier serves over 900k users, enabling them to connect over 600 apps in over a million ways, and we’re growing at a rate of 7% each month.{linebreak}{linebreak}Perhaps you’ve used econometrics to analyze business problems, run your own business, or helped a company grow in the past? You’re passionate about business. You enjoy helping teammates with pivot tables and spreadsheets and are interested in SaaS metrics like churn, lifetime value, activation, engagement and retention. Translating roughly defined business problems into clear statistical problems and back again will be key to this job.{linebreak}{linebreak}You use Exploratory Data Analysis to learn the reasons behind data and communicate in polished and visually clear graphs. When communicating with teammates, you balance the essence of data with the complexity of data by designing clear statistics, graphs and tables that are easily digested by wide audiences. You seek domain expertise from your co-workers and apply a variety of statistical techniques to answer their questions.{linebreak}{linebreak}The current data science stack is a unit-tested internal R library, an AWS Redshift database and an EC2 instance with gobs of memory. Need an RDS, S3 bucket or EC2? No problem, just spin one up.{linebreak}{linebreak}You like to build tools for others that help them make decisions. You enjoy exploring data and helping others understand the narratives that appear in data. You also have a passion for business.{linebreak}{linebreak}How to apply{linebreak}{linebreak}We have a non-standard application process. Creativity is certainly encouraged. To jump start the process we ask a few questions we normally would ask at the start of an interview. This helps speed up the process and lets us get to know you a bit better right out the gate. Make sure to answer each question. Have fun with them. :-){linebreak}{linebreak}* Send an email to datajobs@zapier.com{linebreak}{linebreak}* Tell us about yourself.{linebreak}{linebreak}* Include links to any online code / repositories you've worked on.{linebreak}{linebreak}* Tell us about your favorite software library, package or technology.{linebreak}{linebreak}* Tell us about your favorite analysis technique and why it's useful.{linebreak}{linebreak}* Pick one specific data service you've designed and built. Explain your process from 0 to shipped. Include details of the technologies you used, why you chose them, what design patterns you tried and the trade-offs you had to make.{linebreak}{linebreak}{linebreak}{linebreak}Finally, wait for us to reply. I reply to everyone, even if we don't seem like a good fit.

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Luxia

FULL Stack DATA Scientist


Luxia


data science

full stack

data science

full stack

3yr

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{linebreak}Dans le cadre de son développement, LUXIA recherche un(e) 'Data Scientist' — expert(e) des données — avec un profil informatique 'full stack'. Vous travaillerez principalement sur le hub juridique Alinéa by Luxia — alineabyluxia.fr — avec comme principale mission l'extraction, la structuration, l'analyse et la mise en valeur sur le web de données juridiques à travers la création d'algorithmes et de codes de traitement ad-hoc.

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Autoloop

Data Scientist Analyst


Autoloop


data science

analyst

data science

analyst

3yr

Apply

{linebreak}AutoLoop, the leading provider of marketing solutions for effective and profitable customer relationship management at the dealer level, is looking for a Data Scientist to develop and implement Analytical and Predictive Models. Our office is located in Clearwater, FL.  {linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Collaborate with software developers to plan and construct the architecture surrounding model deployment.{linebreak}{linebreak}* Collaborate with engineering colleagues to define the data modeling goals for designated project areas.{linebreak}{linebreak}* Design and implement creative approaches to predictive modeling problems.{linebreak}{linebreak}* Manipulate data to engineer new features and uncover insights.{linebreak}{linebreak}* Acquire any specialized domain knowledge required to be more effective in all required activities.{linebreak}{linebreak}{linebreak}

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Dufossat

Data Scientist Quantitative Developer


Dufossat


data science

dev

digital nomad

data science

dev

digital nomad

3yr

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{linebreak}Dufossat Capital, L.L.C is is a leading power trading shop operating{linebreak}in American commodities markets. We are looking for a data scientist{linebreak}and quantitative developer to help drive our automated portfolio{linebreak}management system. In-house development and trading teams lean{linebreak}heavily on quantitative analysis for portfolio and risk management so{linebreak}as an employee of Dufossat you will:{linebreak}{linebreak}{linebreak}* Build out and maintain our automated trading infrastructure.{linebreak}{linebreak}* Create new algorithms to use as a basis for new trading strategies.{linebreak}{linebreak}* Work with traders to test out these new strategies.{linebreak}{linebreak}* Investigate and measure portfolio risk.{linebreak}{linebreak}* Develop trading management applications to be used by traders.{linebreak}{linebreak}{linebreak}

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Stubhub

Data Science Manager


Stubhub


data science

exec

data science

exec

3yr

Apply

• Manage the Data Science team, which is responsible for developing empirically-based algorithms that can be scaled for applications in Fraud Detection, Personalization, Ticket Recommendations, and other high-return-on-effort applications as they arise.{linebreak}• Manage your direct reports to continually develop and apply skills relevant to the space, including machine learning and statistical modeling techniques and Python programming skills on Apache Spark, as well as sound business judgment and communication skills.{linebreak}• Designs and evaluate the results of controlled experiments to optimize elements of our offering; advise others with respect to their experimental designs.{linebreak}• Play a leadership role with respect to:o Specifying improvements to our Hadoop/HDFS based analytical environmento Training the Data Science and Analytics teams, and other adequately-prepared power users elsewhere in the company.{linebreak}o Regularly attend key initiative standups, proactively advising on opportunities to apply and the best approach to apply underlying empirical algorithms developed by your team.{linebreak}• Manage StubHub’s relationship with UC Berkeley’s Data Science Industry Alliance Program (Department of Statistics).{linebreak}* Authoritative quantitative analysis skills, particularly in machine learning, multivariate statistical modeling, and data mining.{linebreak}{linebreak}- Strong communication skills and experience distilling and presenting complex quantitative analysis into action-oriented recommendations.{linebreak}- Experience designing and evaluating the results of complex controlled experiments.{linebreak}- Strong team leadership and interpersonal skills, with a strong emphasis on teamwork, initiative and integrity.{linebreak}- Passion around live sports and the live entertainment industry is preferred.{linebreak}- PhD in Math, Statistics, Operations Research, Physics, Economics, Computer Science or equivalent quantitative field from a top tier school.{linebreak}- 5 years personally developing statistical and/or machine learned models and algorithms based on data generated by consumer behavior.{linebreak}- 2+ years people management or project lead experience.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}

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Datarobot

Data Science Educator


Datarobot


data science

data science

3yr

Apply

{linebreak}DataRobot has collected a few of the best and brightest Data Scientists in the world and we want to share our knowledge. To do so, DataRobot is building a world class educational training organization to deliver an advanced training in Data Science industry. Our Data Science Educator will play a key role in the distributing data science knowledge within the world, developing training program that can ensure the success of DataRobot education department’s success. You will work closely with data science experts and top kagglers to design the curriculum, content, and exercises for DataRobot’s education offerings. {linebreak}{linebreak}Key duties and responsibilities{linebreak}{linebreak}{linebreak}* Develop and maintain and teach training courses for employees, prospects, customers, partners and university students{linebreak}{linebreak}* Rapidly develop exercises for training modules, presentations, and accompanying materials for effective learning solutions{linebreak}{linebreak}* Develop a thorough understanding of our product, learning the product functionality inside and out.{linebreak}{linebreak}* Learn how the product is being sold, deployed, and used by customers.{linebreak}{linebreak}* Assist our Director of Education Services / Lead Curriculum Developer to employ instructional design principles appropriate to the audience and work environment specified.{linebreak}{linebreak}* Network with Universities{linebreak}{linebreak}{linebreak}

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Adroll

Senior Full Stack Engineer Data Science


Adroll


data science

senior

engineer

full stack

data science

senior

engineer

full stack

3yr

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{linebreak}About the role:{linebreak}{linebreak}The Data Science team at AdRoll is seeking a Senior Full Stack Engineer to build out green-field, mission-critical infrastructure. You'll work closely with Data Scientists on both the Engineering and Business Intelligence teams building out a system that will improve efficiency and performance across the whole company. This project will have a huge impact on how AdRoll conducts its future business. {linebreak}{linebreak}At AdRoll Engineering, we value the freedom and autonomy we give to our employees. As this infrastructure will be brand new, you will have the unique opportunity to truly lead the product development, employing the technologies you see fit to use. You'll create tools to help BI perform and analyze experiments across all of our ad systems, and then build infrastructure to codify and automate BI recommendations. As such, your work will scale gracefully and be extraordinarily fault tolerant.{linebreak}{linebreak}As you work with Data Scientists, you'll be expected to iterate on new mathematical and statistical ideas to boldly drive up the performance of all of our customers' campaigns. This means being excited about statistics is a plus, and, in particular, you’ll be able to see the effect your system has with our overall company metrics. Since this is a new initiative with a big impact, there's a fantastic opportunity to learn, grow, and become a powerful agent to affect the company's core metrics.{linebreak}{linebreak}Responsibilities:{linebreak}{linebreak}{linebreak}* Write high quality, maintainable code as a senior member of the Data Science team.{linebreak}{linebreak}* Develop polished user interfaces, backend systems for managing data, and the APIs in the middle.{linebreak}{linebreak}* Work with product management and fellow engineers to plan features, create specs, and estimate effort.{linebreak}{linebreak}* Help establish technical standards as the product scales up.{linebreak}{linebreak}* Create a high-profile internal product that will revolutionize the way AdRoll does business.{linebreak}{linebreak}{linebreak}

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Jetsmarter

Data Scientist


Jetsmarter


data science

data science

3yr

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{linebreak}Our Data Scientist will a key player in expanding our brand both domestically and internationally. By utilizing key data points and creating in-depth consumer profiles, we will be able to streamline and synthesize pertinent processes in order to create the ultimate luxury travel experience. If you are an individual with a passion for creating effective solutions to complex problems then this is the opportunity for you. We are looking for the best and brightest with initiative and commitment. We’re a game-changing startup, providing quality, on-demand air charter requests from the touch of your phone. A tenacity toward delivering an awesome experience for our users is critical to our success and due to the companies rapid expansion there is much opportunity for growth within the organization.

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Zocdoc

Data Science Manager


Zocdoc


data science

exec

data science

exec

3yr

Apply

{linebreak}Are you a driven and inquisitive data science leader? Do you love finding insights in large, unique datasets? Want to play a crucial role at a dynamic company that’s improving healthcare for patients across the country?{linebreak}{linebreak}Join ZocDoc as the manager of our Data Science team! As a leader of this high-performing team, you’ll lead development of deep insights for our business units to execute as we continue to grow, and have a tremendous impact on the success of a game-changing company.{linebreak}{linebreak}What you’ll do:{linebreak}{linebreak}{linebreak}* Partner with the leadership team to identify and execute on high-impact opportunities to leverage our extensive data, and integrate Data Scientists into department and product roadmaps{linebreak}{linebreak}* Lead a team of high performing data scientists, reaching across multiple functions (e.g. Product Management and Data Engineering) to implement models into production{linebreak}{linebreak}* Present to high-level business stakeholders stories that tell cohesive, logical stories about the value and uses of Data Science{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What’s required:{linebreak}{linebreak}{linebreak}* 2+ years of experience managing a high-performing Data Science team. It's a plus if that Data Science team contributed to product development.{linebreak}{linebreak}* Expertise working with large, complex SQL and NoSQL database infrastructure{linebreak}{linebreak}* Solid understanding of statistics and common machine learning techniques{linebreak}{linebreak}* A Master's degree in statistics, math, engineering, physical sciences, computer science, or another quantitative discipline{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}What you’ll get:{linebreak}{linebreak}{linebreak}* A home at our award-wining NYC workplace{linebreak}{linebreak}* 100% employer-covered health insurance{linebreak}{linebreak}* A competitive salary and stock options{linebreak}{linebreak}* Catered lunch every day{linebreak}{linebreak}* The chance to create a better healthcare experience for millions of patients!{linebreak}{linebreak}{linebreak}

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Rocket Internet SE

Senior Data Scientist Discovery


Rocket Internet SE


data science

senior

data science

senior

3yr

Apply

{linebreak}Rocket Internet’s discovery team is a fast-growing interdisciplinary team that designs, builds and maintains a world-class real-time data platform that is at the heart of the search and recommendation experience of our e-commerce and marketplace ventures. We are looking for a principal data scientist who is excited to the take the massive amount of product and event data and turn it into powerful algorithms to take our search and recommendation algorithms to the next level. You will define key metrics to measure the business-impact of ranking and relevance models that you develop through exploratory analysis of our vast data sets. Working closely with the engineers on the team you will put these models into production to improve the user experience of millions of customers around the globe.

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Redowl

Data Scientist @ Cloud Based Behavioral Analytics Software Company


Redowl


cloud

data science

dev

stats

cloud

data science

dev

stats

3yr

Apply

{linebreak}RedOwl’s Senior Data Scientists work on a diverse array of statistical challenges, supported by a top-notch engineering team, at a company that places an incredibly high value on analytics. Our current Senior Data Scientists are experts in a wide range of complementary statistical disciplines, including computational biology, natural language processing, machine learning, computational neuroscience, and economics.{linebreak}{linebreak}RedOwl Senior Data Scientists play a variety of roles within the company. You will develop and implement new analytics within Reveal, assist in shaping the product roadmap, supervise teams of software engineers, and help clients use Reveal to mitigate their most pressing security threats. Senior Data Scientists are given a wide range of autonomy to passionately pursue their approach to problem solving through improving the software product.{linebreak}{linebreak}Senior Data Scientists are expected to design and implement cutting-edge statistical methods for solving client problems. You will work with clients in order to understand their needs, workflows, and data sources. With this knowledge, Senior Data Scientists are involved in product and team leadership, helping oversee the development of Reveal to better meet both current and anticipated client needs.

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Popsugar

Data Scientist


Popsugar


data science

data science

3yr

Apply

{linebreak}As a Data Scientist, you will focus on improving and deepening the level of understanding of our reader behavior. Your goal will be to extract meaning from the data and advise our editorial and development teams on your findings. You look to tell a story based on your findings to assist in developing the product road map to customize our content to better suit our reader. This position will bring analytical rigor and statistical methods to the challenges of measuring and understanding the behavior of the 40 million+ women that shop and consume content at POPSUGAR every month.{linebreak}{linebreak}As a Data Scientist, you will:{linebreak}{linebreak}• Research, develop, and apply methods for measuring and analyzing the performance of the POPSUGAR media site and targeted email products.{linebreak}{linebreak}• Develop new algorithms and methods for optimizing content performance, revenue, and adoption.{linebreak}{linebreak}• Research new ways for modeling and predicting reader behavior.{linebreak}{linebreak}• Lead investigations streams of content usage and A/B testing.  Advise product team on new features and modules based on findings.{linebreak}{linebreak}• Design experiments and models to answer targeted questions.

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Seven Bridges Genomics

Genomic Data Scientist


Seven Bridges Genomics


data science

data science

3yr

Apply

{linebreak}About Seven Bridges{linebreak}{linebreak}Seven Bridges Genomics is building the most advanced cloud computing platform for genomics data analysis on the market. We democratize genomics by enabling researchers anywhere to process and understand genomic data faster and more efficiently than ever, at any scale. This allows them to focus on advancing their fields and making personalized medicine a reality.{linebreak}{linebreak}The flexibility of our platform, in the hands of our large team of experts, allows us to collaborate with a wide variety of distinguished pharmaceutical, health-care, and academic partners. We help these partners investigate and treat all kinds of genetic disorders. We are also excited to have been selected to participate in the National Cancer Institute's Cancer Cloud Pilot, which will accelerate and expand our vision.{linebreak}{linebreak}Position{linebreak}{linebreak}As a member of our R&D team you will help create, maintain, test, and innovate on our experimental tools and data sets. You have genomics knowledge and experience that will help guide the team, and will work with the rest of the team to turn prototypes based on theoretical insights into fully-fledged tools ready for production use in a variety of real-world environments. These will be laying the groundwork for the next generation in the field.{linebreak}{linebreak}An ideal candidate would have:{linebreak}{linebreak}{linebreak}* experience with genomics;{linebreak}{linebreak}* a strong background in data science;{linebreak}{linebreak}* experience dealing with real-world data problems such as versioning, ensuring reproducibility and traceability;{linebreak}{linebreak}* experience working with databases;{linebreak}{linebreak}* meticulous attention to data and a voracious appetite for research in all its forms;{linebreak}{linebreak}* exposure to developing;{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}and we also think that...{linebreak}{linebreak}{linebreak}* experience developing is a plus, especially exposure to Python and/or C/C++;{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We don't require the candidates to meet every single requirement on our list. Above all we are looking for a strong cultural fit, as we value our team more than anything else and we like to learn from each other and share the knowledge. In return, we offer a relaxed and open work environment, flexible working hours, and great work conditions.{linebreak}{linebreak}If you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please apply at https://app.jobvite.com/j?aj=ojbS1fw7&s=stackoverflow , or send questionsto jobs@sbgenomics.com.

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ING

verified

Data Scientist


ING


data science

data science

3yr

Apply

{linebreak}Data Scientist. Shaping innovations at ING.{linebreak}{linebreak}Playing a lead role in data analysis within international banking.{linebreak}{linebreak}Do you want to have a lead role in data analysis developments that break new ground in banking? Do you aspire to a position in an international team? Then, apply at the Advanced Analytics Team and become a Data Scientist who takes the lead in data analysis{linebreak}{linebreak}The financial world is making huge strides. Changes are taking place in rapid succession. Across the world, ING wants to play a role in these changes. We believe that clever use of data analysis with people who excel in this dynamic domain is crucial in distinguishing ourselves: {linebreak}{linebreak}* Deepening customer knowledge. The core of our existence is to empower our customers to stay a step ahead in life. To fulfill this task we need to improve our ability to better identify the needs of our customers. {linebreak}{linebreak}* Asset generation. An important strategic theme introduced with our new strategy is consumer and SME lending in the challenger and growth markets. The team can help with improving/ developing prediction models/ solutions (leads/ acceptance/ management/ arrears).{linebreak}{linebreak}* Risk reduction. The team can help to improve risk models and help to better detect or predict risks by developing for example advanced network models on how markets/ companies are related or develop early indicators to detect the early stages of a financial crisis or a housing crisis.{linebreak}{linebreak}* Operational excellence. Flawless execution and easy access to our services for customers is key. The team can help to improve service levels and lower costs for ING. {linebreak}{linebreak}* Breakthrough data analytics innovations. Where possible the team will also try to focus on breakthrough data analytics innovations for ING. For example helping people when they buy a house on future value development and or time to sell. Or helping people to detect online scams by giving a confidence rating if they want to do business with someone, like scam advisor does.{linebreak}{linebreak}{linebreak}Learning a lot and pioneering in dynamic surroundings{linebreak}As a Data Scientist you are part of the Advanced Analytics Team containing a total of 13 specialists. You are working directly with blackbelts, computer scientists and other data scientists; partly highly experienced, partly less experienced. The team works international for all ING divisions worldwide.You are working in really amicable and dynamic surroundings where we spend each day working on innovation and new business opportunities. The team’s goal is to use data technologies to solve all kinds of strategic business questions, in order to anticipate the desires, needs and interests of our customers even better.  {linebreak}{linebreak}Interesting terms of employment{linebreak}As a Data Scientist at ING, this fulltime position(40 hours a week) offers you an excellent salary and superb fringe benefits. Apart from that, you will be given sufficient development opportunities, both locally and internationally, and you will be entitled to support in the event of any relocation from abroad.{linebreak}{linebreak}Who are we looking for?{linebreak}You are an enthusiastic and entrepreneurial Data Scientist who achieves maximum results from projects. You have the leadership and management qualities to be a frontrunner within these projects as well as within your team. You are very socially competent and a highly skilled communicator who is able to work with parties concerned on all levels within an organization. Moreover, you are good at coaching and counseling more junior colleagues.{linebreak}{linebreak}Furthermore: {linebreak}{linebreak}* You speak and write the English language fluently; German, Dutch, Spanish, French or Italian as extra language.{linebreak}{linebreak}* You have at least 3 years of relevant work experience in data/analytics;{linebreak}{linebreak}* You have completed a Master’s or PhD degree with honors in Computer Science, Mathematics or in another relevant field of studies;{linebreak}{linebreak}* You have experience in one or more of the following areas of expertise: data architecture, data mining and/or data analysis;{linebreak}{linebreak}* You have experience regarding one or more of the following specialist skills/ areas:{linebreak}{linebreak}{linebreak}o NOSQL, SQL, R, SAS, SPSS, Python, Matlab, etcetera{linebreak}o Databases and/or data models (Graph databases,Hippocratic databases, ontologies, semantic frameworks){linebreak}o Data security and privacy (privacy-preserving datamining, data security, data provenance){linebreak}o Algorithms for data integration / capture{linebreak}o Machine learning, Bayesian Analysis, EvolutionaryComputing, Neural Networks,{linebreak}o Statistics (Regression, Clustering, Decision trees,Hypergraphs){linebreak}o Advanced mathematics{linebreak}o Simulation, scenario analysis, modeling{linebreak}{linebreak}* You can preferably vouch for entrepreneurship (for instance, because you once started your own business, worked at a start-up, or because you managed innovation teams within companies);{linebreak}{linebreak}* You display a natural instinct for innovation and pragmatic ‘out-of-the-box’ thinking;{linebreak}{linebreak}* You preferably have experience with Agile/Scrum aswell. {linebreak}{linebreak}* 20% travelling.{linebreak}{linebreak}{linebreak}About ING{linebreak}ING is a global financial institution of Dutch origin. We draw on our experience and expertise, our commitment to excellent service and our global scale to meet the needs of a broad customer base, comprising individuals, families, small businesses, large corporations, institutions and governments. Our strengths include our relatively high customer satisfaction levels, solid financial position, multi-channel distribution strategy and international network. Moreover, ING is a sustainability leader in its sector.{linebreak}{linebreak}In need of further information or ready to apply?{linebreak}Can you identify with this profile? Then apply and become a Data Scientist at the ING Advanced Analytics Team. Do you have any questions about this position? Please contact Rob van Elburg, Global  IT Recruiter, via +31-6-20210769 or rob.van.elburg@ing.nl

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Visionmobile

Data Scientist


Visionmobile


data science

data science

3yr

Apply

{linebreak}VisionMobile is the leading research company in the software economy. We track developer trends across 20,000+ developers annually for clients including Microsoft, Intel, Google, Amazon and Mozilla. Our research appears at the forefront of mainstream media incl. Financial Times, Forbes, TechCrunch, and VentureBeat.{linebreak}{linebreak}Who we’re looking for{linebreak}{linebreak}As a Data Scientist, you will have 2-4 years working experience in number crunching, data analysis and visualisation. You will be fearless in data crunching and keen to show-off your pivots and scorecards with eye-candy that begs to differ from boring Excel charts.{linebreak}{linebreak}You will have undertaken many data analysis projects where your novel insights and attention to detail would impress. You might not have worked in the software industry before, but you have a passion for software, apps or smartphones and wanting to figure out what makes the software economy tick.{linebreak}{linebreak}If you’re that person, we’d love to talk.{linebreak}{linebreak}What you’ll be responsible for{linebreak}{linebreak}As a Data Scientist you’ll be reporting to our Director of Research and Operations, with responsibility for:{linebreak}{linebreak}- Data and number crunching in SQL, SPSS, Excel, R, MarketSight and visualisation software. You‘ll be working on complex projects, from sample weighting to behavioural analysis, population sizing and segmentation.{linebreak}{linebreak}- Analysing millions of developer data points to reveal the global software economy trends, from Brazil to Japan.{linebreak}{linebreak}- Tracking the latest trends on mobile, IoT, cloud and desktop developers.{linebreak}{linebreak}- Performing data analysis and research for our market-leading reports.{linebreak}{linebreak}- Helping shape our research agenda and asking developers the right questions.{linebreak}{linebreak}- Interact with clients to provide insightful answers to tough data problems.{linebreak}{linebreak}- Supporting the rest of the analyst team to create more than the sum of the parts.{linebreak}{linebreak}We’re now looking for a full-time, Data Scientist to help drive insights out millions of developer data points. You’ll be working based in Europe or North America (east coast), working from home, a co-working space or our Athens-based office to support our distributed team

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#Role:{linebreak}We run online, self-paced Data Science workshops where participants learn with the help of a curated curriculum and 1-1 guidance from an expert mentor.{linebreak}Our mentor community - the biggest strength of our programs - has some of the best experts from the field. If you are as passionate about mentoring as you are about Data Science, and can give a few hours per week in return for an honorarium, we would love to hear from you.{linebreak}{linebreak}Please find more details about the program below.{linebreak}* Completely online and self-paced. Coursework is ~100 hours and on average, students finish it in 3 months.{linebreak}* Participants in this course are working professionals and college students from all over the world, interested in getting started with Data Science.{linebreak}* Participants learn about Data Science with the help of a curated online curriculum, many projects and a personal mentor.{linebreak}{linebreak}#Responsibilities:{linebreak}* Be proficient in the curriculum topics of the workshop you are mentoring for.{linebreak}* Weekly, 30-minute video check-ins with students to help them set and achieve learning goals, answer subject matter questions, provide feedback on projects, and career advice.{linebreak}* You can do the calls at a time of your convenience, and take as many mentees as your schedule permits.{linebreak}{linebreak}#You:{linebreak}* You are as passionate about teaching Data Science as about Data Science itself.{linebreak}* You are that rare combination of programming, statistics and storytelling skills.{linebreak}*You are proficient in the curriculum topics of at least one of our Foundations or Intensive workshops.{linebreak}*You have at least 2 years of experience solving real-life data science problems, and are comfortable working with large data sets.{linebreak}*You are empathetic and have excellent communication skills.{linebreak}{linebreak}Extra tags: datascience, machinelearning

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Wonder (askwonder.com) is a fast-growing Internet company committed to making online research more accessible to those who need it. We want to employ confident, seasoned researchers who can efficiently track down the highest quality resources across the Web and explain the results to our users in a personable, human way.{linebreak}{linebreak}The best researchers will have a wide breadth of knowledge and specific expertise in several subjects, with an equal penchant for diving into uncharted territory and swiftly becoming an authority. Because many of our users depend on hard data to make decisions, quantitative proficiency is preferred. You not only know how to extract and validate hard stats, but can calculate some of your own on the fly if need be. Previous experience working in a research-intensive role is a definite plus, though not required. Most of all, our researchers are all problem solvers with a sense of imagination that helps them dig deep and find meaningful intelligence. {linebreak}{linebreak}Here are some example questions our clients ask us:{linebreak}+ ”Who is currently deeply pursuing the consumer internet of things and who is primed to lead Industrial Revolution 4.0?”{linebreak}+ “What impact will self-driving car technology have on global economies?"{linebreak}+ “How fragmented (or consolidated) are companies in the used OEM auto parts industry?”{linebreak}+ “What did the French colonial troops do when they were sent to China during the Boxer Rebellion - were they engaged in combat? Did they serve as a peacekeeping force?“{linebreak}{linebreak}For each search you claim, you'll be tasked with finding 5+ links to high-quality sources, and writing a rich summary directly answering the user’s query while adding any insights you gleaned along the way. {linebreak}{linebreak}We pay up to $24 for each completed research task, rate variable depending upon the difficulty of the question. {linebreak}{linebreak}### PERKS{linebreak}+ Global community of researchers{linebreak}+ Work from anywhere{linebreak}+ No fixed hours{linebreak}+ Be as active as you’d like{linebreak}{linebreak}### QUALIFICATIONS{linebreak}+ A discerning eye for quality content {linebreak}+ Strong general knowledge paired with several areas of expertise {linebreak}+ Command of the English language and strong/grammatical writing a must{linebreak}+ Ability to create lean, high-level, often quantitative summaries directly answering users’ questions{linebreak}+ Critical analysis, logical reasoning skills {linebreak}+ Keen attention to details{linebreak}+ Understanding of basic economics (knowledge of markets a huge plus) {linebreak}+ Bonus: those with a narrow, deep understanding of a STEM field/prior study in a technical subject are also encouraged to apply{linebreak}{linebreak}Extra tags: researcher, analyst, market research, virtual assistant, business, finance, analytics, data mining, research, marketing, consulting

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Gfk SE

Data Scientist


Gfk SE


data science

data science

3yr

Apply

{linebreak}For our global Data Sciences Team we are looking for Data Scientists who are as passionate about turning Big Data into Smart Insights as we are. This global high-profile team with a strong research focus is dedicated to leveraging and monetizing GfK’s data assets, and to further developing and implementing our global data strategy. Concrete tasks will include{linebreak}{linebreak}{linebreak}* Apply, develop and improve methods and best practices in Areas of Data Sciences, e.g. predictive modelling, data fusion and text mining{linebreak}{linebreak}* Foster knowledge exchange of Data Science methods and best practices within GfK{linebreak}{linebreak}* Support and coordinate Data Science projects, innovations and research initiatives{linebreak}{linebreak}* Design, implement and maintain data production processes that use Data Science methods{linebreak}{linebreak}* Translate and clearly communicate sophisticated analytical information into client friendly recommendations{linebreak}{linebreak}{linebreak}

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Spatially

Data Scientist


Spatially


data science

data science

3yr

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Full Time: Data Scientist at Spatially in Seattle, WA preferred; or remote

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Clutch Holdings

Senior Data Scientist


Clutch Holdings


data science

senior

data science

senior

3yr

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{linebreak}Clutch is looking for an exceptional data scientist to synthesize and leverage our rich dataset of consumer and multi-channel transaction data to help our brands achieve their aggressive marketing goals.{linebreak}{linebreak}This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals determined to change and innovate how data is used to influence customer outcomes. We are focused on the company’s product strategy, and work on high-impact projects, utilizing a mix of open source and in-house tools and techniques to deliver insights.{linebreak}{linebreak}We’re a lean, flat, and experimental team combining science and engineering to identify and inject high-value insights into our client brands' marketing strategies. The team works in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of industries like high-fashion retail, QSR, Automotive, Pharmaceutical, and many other verticals.{linebreak}{linebreak}What you’ll be doing:{linebreak}{linebreak}You will advocate, evangelize, and build data-fueled products that help our brands maximize their customer strategies. You’ll dig in and become an expert on our datasets. You will provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of our core deliverables.{linebreak}{linebreak}You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas. You will lead applied analytics initiatives that are leveraged across the breadth of our solutions. You will research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.{linebreak}{linebreak}As our data scientist, you will provide expertise on mathematical concepts for the broader technical and business team(s), and inspire the adoption of advanced analytics and data science across the entire breadth of our organization.

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Crowdflower

Full Stack Engineer


Crowdflower


javascript

postgres

scala

ruby

javascript

postgres

scala

ruby

3yr

Apply

{linebreak}About Us:{linebreak}CrowdFlower is changing the way work gets done, and we want you to help us make it happen.{linebreak}Were building a platform that makes it easy for data scientists to enrich their data by distributing work to an on-demand workforce located around the world. In addition to being an integral player in the red hot data science, machine learning and big data fields, we also provide critically needed work and income to millions of micro-tasking workers around the world. Everything our engineers do has real and tangible impact, everyday.{linebreak}We need smart, innovative people to help us build scalable, resilient and responsive systems, working with our exceptional team in San Franciscos Mission District. You can look forward to working with a dynamic, growing company in a casual and fun environment with an opportunity to make an impact at all levels of the business.{linebreak}Learn more about our engineering culture at http://www.crowdflower.com/careers/engineering.{linebreak}The Job:{linebreak}When we say Full Stack Engineer, we're looking for someone that is comfortable building custom UI/UX as well as defining API endpoints for the UI to communicate with. In terms of MVC, the position looks like: 5% M, 75% V, and 20% C. The primary tools you'll employ are Rails and jQuery. You like to work with different technologies and are passionate about constantly learning new things. You take pride in designing elegant, simple solutions to challenging problems, creating quality software components and promoting best practices for agile software development. You will help us ensure we continue to evolve and keep our edge as a world­-class development team. {linebreak}Responsibilities:{linebreak}* Distilling complex requirements into simple interfaces.{linebreak}* Defining the future of CrowdFlower's platform.{linebreak}* Building new products that use the core CrowdFlower platform.{linebreak}* Improve the interface that tens of thousands of CrowdFlower contributors and clients use everyday.{linebreak}* Take pride and ownership in your work and encourage others to do the same{linebreak}* Promote best practices for writing maintainable, well­-tested code{linebreak}{linebreak}{linebreak}Must Haves:{linebreak}* 3+ yrs experience on at least one significant production-level web app in Rails.{linebreak}* Experience in multiple programming languages (we primarily use Ruby and JavaScript).{linebreak}* A solid command of JavaScript. When something breaks, you either know exactly why it broke, or can find out easily.{linebreak}* The ability to design new interfaces - thinking up a creative solution and being able to implement it effectively.{linebreak}{linebreak}{linebreak}Experience with these would be definite assets:{linebreak}* Client-side MVC - React and/or Backbone{linebreak}* Jasmine/TDD experience{linebreak}* An opinion about Web Components/ES6{linebreak}* Git skills and GitHub repos full of cool stuff you've hacked on{linebreak}* A great design aesthetic{linebreak}* PostgreSql, JQuery, Redis{linebreak}* AWS, Jira, Confluence.{linebreak}{linebreak}

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Simons Foundation

verified

UI UX Engineer


Simons Foundation


data science

ui

ux

engineer

data science

ui

ux

engineer

3yr

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{linebreak}To apply, send CV to ux_jobs@simonsfoundation.org{linebreak}{linebreak}{linebreak}POSITION SUMMARY{linebreak}{linebreak}The Simons Foundation is seeking an experienced UI/UX Engineer to develop a highly interactive and effective user interface and work collaboratively with internal front-end and back-end developers. The UI/UX Engineer will make a direct and lasting impact on autism research by building an online platform supporting the engagement of tens of thousands of families affected by autism.{linebreak}{linebreak}{linebreak}ESSENTIAL FUNCTIONS/RESPONSIBILITIES{linebreak}{linebreak}{linebreak}* Design, develop and maintain effective user interfaces for querying, analysis and display of phenotypic, genetic and imaging data.{linebreak}{linebreak}* Work collaboratively and closely with other front-end engineers, back-end engineers, study coordinators, project managers and data analysts.{linebreak}{linebreak}* Participate in open source software development efforts that are aligned with foundation priorities.{linebreak}{linebreak}* Perform any other duties or tasks as assigned or required. {linebreak}{linebreak}{linebreak}

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Hugo

Data Scientist


Hugo


data science

data science

3yr

Apply

{linebreak}As our Data Scientist you’ll work on uncovering key insights for event organizers. You’ll work closely with our customers and development team to devise appropriate measurements and metrics, identify new data sources, design experiments, build visualizations and tackle hard problems. You will have a leading role in developing our data driven products.{linebreak}{linebreak}Your responsibilities{linebreak}{linebreak}{linebreak}* Work with our development team to setup and improve our data infrastructure{linebreak}{linebreak}* Identify metrics and measurements useful for event organizers to improve their festivals{linebreak}{linebreak}* Build effective dashboards for displaying key visualizations and important statistics{linebreak}{linebreak}* Extract and analyze data to drive growth & product strategy{linebreak}{linebreak}* Design, build and use tools for understanding how our products perform{linebreak}{linebreak}* Design and analyze experiments to test new ideas and improvements{linebreak}{linebreak}{linebreak}

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Simply Business

Senior Ruby Python Java Developers


Simply Business


qa

javascript

infosec

cloud

qa

javascript

infosec

cloud

3yr

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{linebreak}If you’re smart, passionate about technology and enjoy solving complex technical challenges then you should apply to join our best-in-class tech team. We believe that people are our most important asset and one worth protecting. As such, we’re known for creating an enviable working culture to keep our employees smiling on a day to day basis. {linebreak}{linebreak}We offer things such as flexible hours, remote working, fortnigtly hackathons and freedom to work on projects of individual interest to name just a few. In fact, our impressive working culture has recently earned us 1st place in the Sunday Times 100 Best Companies to Work for 2015. {linebreak}{linebreak}{linebreak}We have two different positions.{linebreak}{linebreak}{linebreak}1. Senior Developers who would like to lead a team / projects - We envisage the split here being about 70% hands-on coding and 30% leading the team, liaising with product owners on prioritization work, attending iteration planning meetings with stakeholders, delegating tasks to dev team, and making sure we are following Lean / Agile processes correctly.{linebreak}{linebreak}{linebreak}2. Senior Developers who want to be 100% coders (non-lead) - This role will be 100% hands on working with our other Devs to code beautiful products for our customers! {linebreak}{linebreak}{linebreak}{linebreak}Some of our Current Projects: {linebreak}{linebreak}Seedy - Our custom built CMS. A hybrid, markdown based, sinatra driven CMS but with a TDD undercurrent. Content changes are no different to backend refactoring. Templates are written in a custom DSL that enforces our style guide while still supporting iterative changes and automatic deployment. Across the company people (including business teams) are now being tagged in pull requests and even writing code!{linebreak}{linebreak}Aerie - We’re overhauling our data and analytics architecture. Using the latest approaches in event streaming, we are building a brand new data pipeline based on Kinesis and Redshift that will support the analysis of both structured and semi-structured data in near real-time. This will provide rapid and intuitive customer insight to our decision makers, while also providing exciting machine learning capabilities back to our core product offering.{linebreak}{linebreak}AAA - We are enhancing our new world platform. Our current focus is on security with a view to building out ‘infrastructure as code’ using tools such as AWS CloudFormation, AWS OpsWorks, Chef/Puppet and many others. Essentially, we believe a well architected system allows us to avoid unnecessary complexity and can enable individuals to generate great output.{linebreak}{linebreak}Our Tech Stack{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* Ruby{linebreak}{linebreak}* Rails                                                                                                                            {linebreak}{linebreak}* Scala  {linebreak}{linebreak}* MongoDB{linebreak}{linebreak}* RabbitMQ{linebreak}{linebreak}* Puppet/Boxen{linebreak}{linebreak}* AWS                                                                                                                        {linebreak}{linebreak}* Hadoop / RedShift / Looker /Tableau{linebreak}{linebreak}* Cucumber / RSpec / Jasmine                              {linebreak}{linebreak}* SASS / HAML / HTML5 / CSS3 / JavaScript / CoffeeScript / jQuery{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}This list changes all the time, as being on the lookout for new technology trials and opportunities is part of our code. We don’t believe in limiting ourselves, or the company. If there are other tools that could get the job done better, we’re committed to exploring them.{linebreak}{linebreak}Things we believe in:{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}* TDD / BDD{linebreak}{linebreak}* Continuous Delivery{linebreak}{linebreak}* Pair Programming{linebreak}{linebreak}* Build – Measure - Learn{linebreak}{linebreak}* Active participation to open source{linebreak}{linebreak}* Our business people writing code (we've not seen this anywhere else!)                                {linebreak}{linebreak}* Cross functional teams (Dev / QA/ Data / UX / Product owners all sitting together)            {linebreak}{linebreak}* Release early and learn quickly - we release our software to production around 15 times a day on average!        {linebreak}{linebreak}* Continuous learning - we look to pay for courses and conferences and actively encourage our Devs to get out and about in the community. We have even sent some of our Devs to Miami, Portugal and Barcelona for conferences recently.                                                              {linebreak}{linebreak}* Have fun! We do ruby coding challenges during lunchtimes over pizza, we have desk beers on a friday, we have several social events throughout the year, we do fortnightly hackathons, we have afterwork clubs like: UX, Data science and Robotics club, we have flexible working hours, weekly 'show n tell' sessions, and lot's more!                                                                                                 {linebreak}{linebreak}{linebreak}

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Selerity

Senior Data Scientist


Selerity


data science

senior

data science

senior

3yr

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{linebreak}Want to change how the world engages with news and data?{linebreak}{linebreak}Selerity has dominated ultra-low-latency data science in finance for several years. Now our real-time content analytics and contextual recommendation platform is gaining broader traction in media and we need to scale up! We are working on tough problems in entity and fact extraction, domain-specific semantic relevance, topic classification, on-line clustering, behavioral analysis, collaborative filtering and contextual recommendation. We need to achieve unprecedented accuracy across a variety of languages, media types and problem domains -- all in real-time and at rapidly increasing scale.{linebreak}{linebreak}We’re looking for an experienced, hands-on data scientist to join a major initiative at a critical point in our company’s growth.

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Autonomy Engine

Data Scientist


Autonomy Engine


data science

engineer

data science

engineer

3yr

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{linebreak}Autonomy Engine is looking for a Data Scientist who is excited by challenges and being a critical part of a startup team.   We are initially seeking help on a two month project focused on the development of 'Vibe' models to predict human perception of specific speaking habits.  As part of our algorithm team, you will be working with data to identify trends or issues, select or engineer new features, and develop machine learning models.

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Ecohealth Alliance

verified

Software Developer


Ecohealth Alliance


javascript

python

meteor js

mobile

javascript

python

meteor js

mobile

3yr

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{linebreak}Are you interested in applying your technical skills to identifying the next global infectious disease threat and improving global health? {linebreak}{linebreak}EcoHealth Alliance is seeking software developers for our tech team. As part of a small team of developers, data scientists, and infectious disease scientists, you’ll develop tools to support EcoHealth Alliance’s mission in conservation and global public health. The focus of this position will be to develop global health web platforms that are actively used to monitor global emerging infectious diseases, and that contribute to the analysis of disease emergence.{linebreak}{linebreak}Description and Responsibilities {linebreak}{linebreak}We are looking to build a diverse team with a variety of skill sets and backgrounds. Position duties may include:{linebreak}{linebreak}{linebreak}* Contributing to open source software; mobile app development, building front-end(s) for web frameworks (e.g., Meteor)Data and text mining{linebreak}{linebreak}* Designing scientific visualizations{linebreak}{linebreak}* Geo-tagging and geo-visualization{linebreak}{linebreak}* Network modeling{linebreak}{linebreak}* Contributing to technical project management{linebreak}{linebreak}* Some collaborative proposal development.{linebreak}{linebreak}* Developing natural language processing and machine learning systems{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}We mostly code in CoffeeScript, JavaScript, and Python and use Meteor for web apps and AWS for hosting. We collaborate on GitHub, do code review via pull requests, and use project management tools and communication to keep everything on track.{linebreak}{linebreak}EcoHealth Alliance is an equal opportunity employer offering competitive salary and a comprehensive benefits package that covers 100% of the monthly health care premium costs for the employee and their family when applicable (including dental and vision coverage), a 403(b) pension plan, flexible work schedules, a minimum of 10 days paid vacation annually, paid holidays, work from home days, and a pre-tax transportation withholding for commuters in New York City. EcoHealth Alliance may encourage employees to attend conferences when appropriate, and enroll in courses for the joint purposes of professional development and promoting the EcoHealth Alliance mission.{linebreak}{linebreak}The position is based at EHA headquarters in New York City (Manhattan). Local candidates are preferred, with possible relocation assistance available. Outstanding remote candidates will also be considered, but must be available to work for at least 4 hours between 9am and 6pm Eastern Standard Time to facilitate collaboration with New York based employees. {linebreak}{linebreak}How To Apply{linebreak}{linebreak}To apply, you must send your resume and a personalized cover letter as one document to dev-jobs@ecohealthalliance.org with the subject of 'Software Developer 2015'. Applications without cover letters will not be evaluated. This cover letter will help us assess your ability to communicate effectively and will be used as the primary mechanism to determine whether a candidate is asked to interview for the vacant position.  The cover letter is the most important part of your application. In your cover letter, please briefly describe your background and any experience you may have with web development frameworks, machine learning, natural language processing and public health. Be sure to mention why you are interested in working  on a research-and-development oriented team at a health and conservation focused non-profit.

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Clevertech

Experienced Data Scientist


Clevertech


data science

data science

3yr

Apply

{linebreak}About You{linebreak}{linebreak}You have a software engineering background and experience programming in R.{linebreak}{linebreak}You’re analytical and comfortable with increasingly large, ‘real-life’ datasets—you’re ready to shine via trial by fire.{linebreak}{linebreak}You know how to make meaningful data-like contributions to production code and provide essential insights.{linebreak}{linebreak}You have interesting accomplishments to tell us about, and hey, you might have even rejected offers from companies like Google, Facebook, or Twitter.{linebreak}{linebreak}You're ready for a long-term fit with the flexibility to create your best work, again and again.{linebreak}{linebreak}If you're not a native English speaker, people often mistake you as such.

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Marin Software

Data Scientist


Marin Software


javascript

node js

data science

node js

javascript

node js

data science

node js

3yr

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{linebreak}Marin is the Advertising Management Platform of choice for global brands such as General Motors, American Express, Macy’s, REI, Sephora, Salesforce.com, and 500 other top consumer and B2B companies.{linebreak}{linebreak}Optimizing ad targeting and performance starts with having the right data, and the Big Data engineering team makes it happen.  Combining thousands of reports from Google, Facebook, Bing, and other publishers, over 100M click events per day from our in house performance tracking system and customer reporting systems, and 5+ billion advertising campaign objects, we power our proprietary bidding systems and financial models to maximize value and return for our customers.{linebreak}{linebreak}Marin is rapidly building out our Big Data infrastructure.  We’ve already built out a 100+ node, petabyte size cluster, and now is a great opportunity to join as a key member of the team and be at the center of the action. We are in an active search for a Data Scientist to bring real world experience of data analysis and machine learning techniques on vast datasets.  We enjoy intense mathematics and computer science challenges and approach these problems with creativity and teamwork. We believe Marin's explosive growth should not compromise its agility in responding to market trends. We are a company that believes in building a product for the long-term, and creating a company that can grow as the market matures.

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Marin Software

VP Data Science


Marin Software


javascript

node js

data science

node js

javascript

node js

data science

node js

3yr

Apply

{linebreak}Marin is the Advertising Management Platform of choice for global brands such as General Motors, American Express, Macy’s, REI, Sephora, Salesforce.com, and 500 other top consumer and B2B companies.{linebreak}{linebreak}Optimizing ad targeting and performance starts with having the right data, and the Big Data engineering team makes it happen.  Combining thousands of reports from Google, Facebook, Bing, and other publishers, over 100M click events per day from our in house performance tracking system and customer reporting systems, and 5+ billion advertising campaign objects, we power our proprietary bidding systems and financial models to maximize value and return for our customers.{linebreak}{linebreak}Marin is rapidly building out our Big Data infrastructure.  We’ve already built out a 100+ node, petabyte size cluster, and now is a great opportunity to join as a key member of the team and be at the center of the action. We are in an active search for a VP,  Data Scientist to bring real world experience of data analysis and machine learning techniques on vast datasets.  We enjoy intense mathematics and computer science challenges and approach these problems with creativity and teamwork. We believe Marin's explosive growth should not compromise its agility in responding to market trends. We are a company that believes in building a product for the long-term, and creating a company that can grow as the market matures.

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Flying Software Labs

Business Intelligence Lead Developer Data Scientist


Flying Software Labs


data science

exec

dev

digital nomad

data science

exec

dev

digital nomad

Salt Lake City3yr

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This position should be able to work in advanced SQL (and other data tools). We use raw SQL, Jaspersoft and Tableau. We are wanting a person who can work all three products. Does not have to be an expert on any one other than very solid SQL skills. {linebreak}{linebreak}#Salary{linebreak}50000 - 110000{linebreak} {linebreak}{linebreak}#Equity{linebreak}50000 - 110000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Salt Lake City

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Book A Boat

Research Analyst Content Director Data Analyst


Book A Boat


data science

exec

analyst

data science

exec

analyst

Europe3yr

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{linebreak}{linebreak}#Salary{linebreak}24000 - 48000{linebreak} {linebreak}{linebreak}#Equity{linebreak}24000 - 48000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Europe

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Vision Solutions

verified

Data Mining Developer


Vision Solutions


data science

dev

digital nomad

data science

dev

digital nomad

Athens3yr

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Vision Solutions a growing dynamic startup developing innovative enterprise software solutions and a market leader in the local market in at least three sectors. Our focus is customer value and attracting the best talent. {linebreak}{linebreak}Vision Solutions is now looking to recruit a Data Mining Developer.{linebreak}{linebreak}Requirements:{linebreak}•University Degree in Computer Science, Software Engineering or Statistics {linebreak}•Academic or professional experience in complex algorithmic work (such as data mining algorithms, predictive analytics, pattern recognition, artificial neural networks, combinatorial optimization, machine learning){linebreak}•Excellent understanding and practical experience of:{linebreak}-SQL{linebreak}-C#{linebreak}-ASP.NET MVC{linebreak}-jQuery{linebreak}•Strong analytical & problem solving skills{linebreak}•Ability to work effectively as part of a team{linebreak}•Highly self-motivated and methodical, with attention to detail{linebreak}•Innovative & challenge oriented{linebreak}•Ability to quickly learn new technologies and enhance professional skills{linebreak}•Ability to meet objectives within specified time limits{linebreak}{linebreak}The company offers:{linebreak}•Competitive remuneration package{linebreak}•Training and development opportunities in a rapidly growing company{linebreak}•Pleasant environment{linebreak}{linebreak}Contract Type: Permanent, Full Time {linebreak}{linebreak}Location: Vrilissia, Athens, Greece {linebreak}{linebreak}Application: If you would like to apply for this position, please send your CV to the email address: info@vision-solutions.gr {linebreak}{linebreak}#Salary{linebreak}10000 - 45000{linebreak} {linebreak}{linebreak}#Equity{linebreak}10000 - 45000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Athens

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Ookla

Senior Systems Engineer


Ookla


cloud

sql

mobile

data science

cloud

sql

mobile

data science

3yr

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{linebreak}Quality internet matters to you, and youve probably used Ooklas tools to check your broadband or mobile data performance. You may be surprised to know that every day over 5 million people use our app on the web, on iOS and Android - it's even embedded in routers.  Our users love us - taking over 7.2 billion tests to date - in order to learn more about the service they are receiving from their ISPs, mobile carriers, etc.{linebreak}{linebreak}Ookla is a small team of passionate individuals who have turned a clever idea into a thriving business, and have gained an invaluable insight into the state of the Internet on a truly global scale. Were looking for a qualified and enthusiastic Senior Systems Engineer to bring their skills to our team. Someone to whom the idea of architecting, building and maintaining systems supporting such a high user and data volume is exciting. Someone eager to own the infrastructure of a service that you feel passionate about while helping to make the internet a better place for us all. {linebreak}{linebreak}This role will require frequent (near weekly) visits to our downtown Seattle office - the pinball machine isn't going to play itself after-all -  otherwise we are a largely virtual company with excellent workplace flexibility.{linebreak}{linebreak}RESPONSIBILITIES{linebreak}{linebreak}{linebreak}* Manage and maintain a global ecosystem of over 150 cloud, virtual, and physical servers running Linux, OpenSolaris, BSD and others supporting tens of millions of customer pageviews per day.{linebreak}{linebreak}* Contribute to systems architecture decisions, capacity planning, documentation{linebreak}{linebreak}* Maintain and extend systems management tools including Chef{linebreak}{linebreak}* Manage multiple high transaction level Percona MySQL clusters, Amazon RDS, and other database technologies{linebreak}{linebreak}* Batch and real time data processing of large customer data sets via SQL and custom tools{linebreak}{linebreak}* Support production systems in a 24x7x365 environment, including on-call responsibilities.{linebreak}{linebreak}* Support and collaborate with development, data analyst, sales and support staff{linebreak}{linebreak}* Mentor junior engineering staff{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Benefits{linebreak}{linebreak}Competitive Salary, dependent on experience{linebreak}{linebreak}Ookla has great benefits including competitive compensation, full medical, dental and vision benefits for you and your family, a generous vacation and holiday plan, and more. We also provide the best hardware, software and tools available for you to do your work.
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