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44 Remote Senior Data Science Jobs at companies like Komoot, Wallethub and Luna last posted 1 month ago

44 Remote Senior Data Science Jobs at companies like Komoot, Wallethub and Luna last posted 1 month ago

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**Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store. {linebreak}{linebreak}To help us better drive data-driven product decisions and strategy, we’re looking for a skilled and curious data analyst. We believe that data-driven decision making is key to our success and your skills, curiosity, and experience will play a crucial role in building the future of outdoor experiences.**{linebreak}{linebreak}# Responsibilities{linebreak} **What will you do**{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 discuss findings to different audiences (Co-founders, marketing, product, sales, etc.){linebreak}* Develop approaches to answer key questions with data analytics{linebreak}* Consult and mentor our junior data analyst{linebreak}* Organize and prioritize tasks of our data analytics roadmap{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 have the liberty to develop data analytics at komoot, technically and organizationally{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{linebreak}* We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3{linebreak}* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides {linebreak}{linebreak}# Requirements{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 experience in evaluating marketing campaigns, cohort analysis, A/B testing and retention{linebreak}* Have strong and proven skills in SQL and Pandas{linebreak}* Have strong communication skills{linebreak}* Have Python and statistical skills{linebreak}* Have a good overview of technical solutions in the data analytics field{linebreak}* Have a hands-on attitude and are highly self-driven{linebreak}{linebreak}**Sounds like you?**{linebreak}Then send us the following:{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. Dashboards, 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

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# How do you apply? Please apply by clicking the apply button or via our company website. We are looking forward to your application!
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Wallethub

verified

Senior Data Scientist


Wallethub

verified

data science

senior

data science

senior

2mo

Apply

{linebreak}Company details{linebreak}{linebreak}WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.{linebreak}{linebreak}The main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.{linebreak}{linebreak}Making the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.{linebreak}{linebreak}By designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.{linebreak}{linebreak}Such goals include:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Selecting the best financial products for your needs{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Taking the right actions to improve your credit score{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Anticipate your future financial health based on your current financial status and history{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}With these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!{linebreak}{linebreak}Requirements{linebreak}{linebreak}You are the ideal candidate for this job if you have:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}At least 5 years of experience as a Data Scientist.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with databases (including NoSQL).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience in machine learning frameworks and libraries.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Supervised and Unsupervised learning.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Computer Science or Mathematics or Physics degree.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Excellent communication and analytical skills.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Willingness to work hard (50 hrs per week).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Very good English{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Nice to have but not required{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with Apache Spark.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}R programming language.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Responsibilities{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Participating in the areas of architecture, design, implementation, and testing.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Proposing innovative ways to look at problems by using data mining approaches on the set of information available.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Designing experiments, testing hypotheses, and building models.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Conducting advanced data analysis and designing highly complex algorithm.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Our Offer{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Very competitive salary based on prior experience and qualifications.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Potential for stock options after the first year.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Raise and advancement opportunities based on periodic evaluations.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Health benefits (in case you will be working from our office in Washington DC).{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Notes {linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.{linebreak}{linebreak}{linebreak}* Candidates with less than 8 yrs of experience will not be considered.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}More about WalletHub{linebreak}{linebreak}WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:{linebreak}{linebreak}1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.{linebreak}{linebreak}2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.{linebreak}{linebreak}3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.{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}How to Apply{linebreak}{linebreak}To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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Luna

Senior Data Scientist  


Luna


data science

senior

data science

senior

2mo

Apply

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

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This year


Wallethub

verified

Senior Data Scientist


Wallethub

verified

data science

senior

data science

senior

3mo

Apply

{linebreak}Company details{linebreak}{linebreak}WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We're looking for a highly experienced and motivated Data Scientist for a full-time, permanent position.{linebreak}{linebreak}The main objective of the Data Science Team is to improve WalletHub's services and core product. This has a direct impact on the overall user experience.{linebreak}{linebreak}Making the right personal finance decisions by sifting through vast amounts of available information can be a daunting task for almost anyone. This is because a large number of interrelated factors need to be taken into account when making such decisions.{linebreak}{linebreak}By designing and constructing data-driven models, the Data Science Team is able to provide our users with indispensable knowledge and meaningful advice on how they can achieve their personal finance goals.{linebreak}{linebreak}Such goals include:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Selecting the best financial products for your needs{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Taking the right actions to improve your credit score{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Anticipate your future financial health based on your current financial status and history{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}With these goals in mind, our Data Scientists use the latest cloud technologies and machine learning tools in order to exploit the potential of data analytics. We always have new and interesting projects on the horizon that aim to help our users reach their personal finance aspirations!{linebreak}{linebreak}{linebreak}Requirements{linebreak}{linebreak}You are the ideal candidate for this job if you have:{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}At least 8 years experience in Java, Spring and MySQL (or any relational database) and Python.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}At least 5 years of experience as a Data Scientist.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with databases (including NoSQL).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience in machine learning frameworks and libraries.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Supervised and Unsupervised learning.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Machine learning concepts and techniques: Regularization, Boosting, Random Forests, Decision Trees, Bayesian models, Neural networks, Support Vector Machines (SVM).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with the whole ETL data cycle (extract, validate, transform, clean, aggregate, audit, archive).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Computer Science or Mathematics or Physics degree.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Excellent communication and analytical skills.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Willingness to work hard (50 hrs per week).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Very good English{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Nice to have but not required{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Experience with Apache Spark.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Natural Language Processing (tokenization, tagging, sentiment analysis, entity recognition, summarization).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}R programming language.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Responsibilities{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Participating in the areas of architecture, design, implementation, and testing.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Proposing innovative ways to look at problems by using data mining approaches on the set of information available.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Designing experiments, testing hypotheses, and building models.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Conducting advanced data analysis and designing highly complex algorithm.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Applying advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Our Offer{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Very competitive salary based on prior experience and qualifications.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Potential for stock options after the first year.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Raise and advancement opportunities based on periodic evaluations.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Visa sponsorship (if working from outside the US, sponsorship can be granted after 18 months with the company, based on performance).{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}Health benefits (in case you will be working from our office in Washington DC).{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}Notes {linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}This position does not have a location requirement and can be performed either remotely (including from outside the U.S.) or from WalletHub’s offices in downtown Washington DC.{linebreak}{linebreak}{linebreak}* {linebreak}{linebreak}If you're intending to work from outside the US please be aware this position entails working at least 50 hour per week and requires an overlap with EST business hours.{linebreak}{linebreak}{linebreak}* Candidates with less than 8 yrs of experience will not be considered.{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}More about WalletHub{linebreak}{linebreak}WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:{linebreak}{linebreak}1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.{linebreak}{linebreak}2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.{linebreak}{linebreak}3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.{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}{linebreak}How to Apply{linebreak}{linebreak}To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to [email protected]

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eMoney Advisor

Senior Data Scientist


eMoney Advisor


data science

senior

data science

senior

6mo

Apply

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

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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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FinancialForce.com

Senior Data Scientist


FinancialForce.com


data science

senior

data science

senior

1yr

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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

1yr

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Stats (beta): 👁 779 views,✍️ 0 applied (0%)
{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

1yr

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Stats (beta): 👁 713 views,✍️ 0 applied (0%)
{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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Doximity

verified

Senior Data Scientist


Doximity

verified

python

machine learning

data science

senior

python

machine learning

data science

senior

2yr

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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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AdRoll

Senior Infrastructure Engineer Data Science


AdRoll


data science

senior

engineer

data science

senior

engineer

2yr

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Stats (beta): 👁 347 views,✍️ 0 applied (0%)
{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

2yr

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Stats (beta): 👁 432 views,✍️ 0 applied (0%)
{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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REAN Cloud

Senior Data Scientist


REAN Cloud


data science

senior

data science

senior

2yr

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Stats (beta): 👁 386 views,✍️ 0 applied (0%)
{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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Zapier

Senior Data Science Engineer


Zapier


data science

senior

engineer

data science

senior

engineer

2yr

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Stats (beta): 👁 1,089 views,✍️ 0 applied (0%)
{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

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Stats (beta): 👁 574 views,✍️ 0 applied (0%)
{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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Loci

Data Scientist Algorithms Heuristics Senior Developer


Loci


data science

senior

dev

digital nomad

data science

senior

dev

digital nomad

3yr

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Stats (beta): 👁 772 views,✍️ 0 applied (0%)
{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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GitHub

Senior Data Scientist


GitHub


data science

senior

data science

senior

3yr

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Stats (beta): 👁 1,861 views,✍️ 0 applied (0%)
Full Time: Senior Data Scientist at GitHub in San Francisco, California or Remote

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AdRoll

Senior Full Stack Engineer Data Science


AdRoll


data science

senior

engineer

full stack

data science

senior

engineer

full stack

4yr

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Stats (beta): 👁 1,574 views,✍️ 0 applied (0%)
{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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Rocket Internet SE

Senior Data Scientist Discovery


Rocket Internet SE


data science

senior

data science

senior

4yr

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Stats (beta): 👁 647 views,✍️ 0 applied (0%)
{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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Clutch Holdings

Senior Data Scientist


Clutch Holdings


data science

senior

data science

senior

4yr

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Stats (beta): 👁 869 views,✍️ 0 applied (0%)
{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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Simply Business

Senior Ruby Python Java Developers


Simply Business


qa

javascript

infosec

cloud

qa

javascript

infosec

cloud

4yr

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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

4yr

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Stats (beta): 👁 815 views,✍️ 0 applied (0%)
{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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Ookla

Senior Systems Engineer


Ookla


cloud

sql

mobile

data science

cloud

sql

mobile

data science

4yr

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Stats (beta): 👁 5,433 views,✍️ 0 applied (0%)
{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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DataFi

Senior Data Scientist


DataFi


data science

senior

data science

senior

4yr

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Stats (beta): 👁 727 views,✍️ 0 applied (0%)
{linebreak}As Senior Data Scientist, you will be tasked with designing and implementing predictive models. You will utilize the latest techniques in machine learning and statistics to solve big problems in the Financial Technology space. You’ll be working alongside the business development team to deeply understand the nuances of construction lending and use that knowledge to design a model that will be one of the pillars of our company’s success. You’ll then help the product team build that model into the rest of the web platform. From exploration to execution, you will be critical to the design and implementation of our data product.

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beaglef

Palo Alto

Senior Data Scientist


beaglef

Palo Alto

data science

senior

data science

senior

Palo Alto4yr

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Stats (beta): 👁 851 views,✍️ 0 applied (0%)
http://beaglef.com (online ridesharing startup) is looking for Senior Data Scientist with strong knowledge of: Hadoop, Hive, MapReduce, R, Pig, Spark and Python{linebreak}big plus would be: Machine Learning, Statistical Modeling, Data Mining, Pattern Recognition, Information Retrieval, and Natural Language Processing {linebreak}{linebreak}#Salary{linebreak}80000 - 95000{linebreak} {linebreak}{linebreak}#Equity{linebreak}80000 - 95000{linebreak} {linebreak}{linebreak}#Location{linebreak}- Palo Alto

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Blackboard

Senior Data Scientist


Blackboard


data science

senior

data science

senior

4yr

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Stats (beta): 👁 828 views,✍️ 0 applied (0%)
{linebreak}Analytics are a core feature of Blackboard’s products and services, both as a distinct product offering and approach to enhance existing products. This position will advance Blackboard’s mission by bringing cutting-edge analytics approaches to large data sets across applications, institutions, and student profiles; results from this work have potential impact on millions of students across the globe.  This position will participate in the development of new predictive analytics functionality within existing products using big data and cloud infrastructure.{linebreak}{linebreak}POSITION RESPONSIBILITIES{linebreak}{linebreak}Reporting to the Director of Development for Core Services, the Sr. Data Scientist plays an integral role in the design, development and implementation of machine learning and statistical methods on big data sets to identify students at-risk of low performance in a course, determine online course design characteristics and their impacts on student learning, and other analysis projects related to learning and teaching with technology.  Findings from this research will be used to create production-level algorithms within Blackboard applications and inform product development priorities.{linebreak}{linebreak}Translation of functional needs into rigorous analysis techniques, ability to adapt techniques and approaches to variable data sets, and clear communication with technical collaborators and non-experts are critical to the ongoing success of this role.  Ability to convert research findings into results that be implemented in simplified production algorithms will also be essential to this role.{linebreak}{linebreak}The position requires close coordination with program management and product development, as well as other product teams across Blackboard. Ability to interact with distributed teams via teleconference, web conference or through written communication are key aspects of the role. Knowledge and experience in educational technology and web platform data are strong assets.{linebreak}{linebreak}Specifically s/he will:{linebreak}{linebreak}{linebreak}* Design research methods that address questions related to predicting educational outcomes, designing impactful software, and other strategic issues{linebreak}{linebreak}* Apply advanced machine learning algorithms, statistical methods and predictive modeling techniques on large and varied data sets that include application logfiles, other online application telemetry, structured and unstructured data sources.{linebreak}{linebreak}* Analyze research results, draw actionable insights, and present findings to product management and development personnel.{linebreak}{linebreak}* Lead the development of business requirements and functional algorithms that can be used in real-time production environments.{linebreak}{linebreak}* Provide on-going tracking and monitoring of performance of algorithms and statistical models, troubleshoot and implements enhancements and fixes to these systems as needed.{linebreak}{linebreak}* Assess data sources for integrity and validity compared to intended educational proceses.{linebreak}{linebreak}* Performs data processing and analysis tasks on large-scale, long-term projects that benefit product management and functional owners, user experience research, and product development.{linebreak}{linebreak}* Collaborate daily with other analytics team members implementing data analysis and machine learning techniques.{linebreak}{linebreak}* Collaborate with development team to ensure projects are clearly defined and properly phased to facilitate timely delivery of functionalit{linebreak}{linebreak}{linebreak}

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Sense

San Francisco

Senior Data Scientist


Sense

San Francisco

data science

senior

data science

senior

San Francisco5yr

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Stats (beta): 👁 1,460 views,✍️ 0 applied (0%)
We're looking for a data scientist to lead public outreach at Sense. You'd be responsible for making Sense the absolute best platform for data scientists. You should have a strong foundation in statistics and deep experience with a broad range of tools, including R and Python. If you see what's on https://sense.io and think we're speaking to you, you're a match. A PhD in a quantitative field a plus but is not required. {linebreak}{linebreak}#Salary{linebreak}90000 - 120000{linebreak} {linebreak}{linebreak}#Equity{linebreak}90000 - 120000{linebreak} {linebreak}{linebreak}#Location{linebreak}- San Francisco

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