{"schemaVersion":"jobsearcher.job.v1","id":"49ca7692b17e02be6959d7f8","url":"https://jobsearcher.com/jobs/49ca7692b17e02be6959d7f8","canonicalUrl":"https://jobsearcher.com/jobs/49ca7692b17e02be6959d7f8","title":"Senior Data Scientist","description":"About GitHub: GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.\nLocations: In this role you can work from Remote, United States\nOverview:\n\nGitHub is seeking experienced professionals to elevate our data and analytics efforts. As a Senior Data Scientist in Data Science, you will leverage your deep expertise and knowledge of data science, AI/ML, analytics engineering, and business to lead data acquisition efforts, conduct thorough review of data analysis and data quality, form hypotheses and discover insights in the data to support business stakeholders and their decision making. The ideal candidate will contribute to the impact of our Data Science initiatives and gain deep insights into the latest advancements in AI, machine learning and data science.\n\nResponsibilities:\nLead data acquisition efforts and ensure data is properly formatted and accurately described, while adhering to GitHub's privacy policies\nMentor others in data cleaning and data analysis best practices. Identify gaps in current data sets and drive onboarding of new data sets from production systems or third-party vendors.\nResolve data integrity problems in collaboration with relevant teams to promote upstream change and long-term quality\nLeverage broad and deep knowledge of data modeling techniques, AI/ML tools, programming languages and query languages to create models, conduct experiments, analyze results, evaluating the methodology and performance of team members' models and recommending improvements.\nDrive best practices relative to model validation, implementation, and application, and partners with teams across the organization to identify and explore new opportunities for driving transformative solutions for our stakeholders and customers.\nDevelop and articulate data-driven strategies in consideration of business priorities and lead conversations with end customers and/or internal stakeholders to understand, define, and solve business problems.\nCommunicate complex statistics, and machine learning topics to diverse audiences (e.g., multidisciplinary teams, customers, technical and non-technical audiences)\nIndependently writes efficient, readable, extensible code that spans multiple features/solutions. Contributes to the code/model review process by providing feedback and suggestions for implementation and improvement.\nDrive operational excellence for model deployment (i.e. performance, scalability, monitoring, maintenance, integration into engineering production system, stability)\nProduce project plans to define necessary steps required for completion, leading to a measurable improvement in business performance metrics over time.\nQualifications:\n\nRequired Qualifications:\n\nBachelor's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR Master's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR Doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR equivalent experience\n\nPreferred Qualifications:\n\nTechnical understanding of data science techniques for regression, classification, time-series analysis, experimental design, causal inference\nProficiency in programming languages such as Python or R, experience with query languages such as SQL and KQL, and with data manipulation tools like Spark and Airflow\nAble to clearly communicate findings to non-technical stakeholders through storytelling and visualization with tools like Jupyter notebooks or Azure Data Explorer/ PowerBI dashboards\nCompensation Range: The base salary range for this job is USD $124,000.00 - USD $329,200.00 /Yr.\n\nThese pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.\n\nThis position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.\nGitHub Leadership Principles:\n\nGitHub values\n\nCustomer-obsessed\nShip to learn\nGrowth mindset\nOwn the outcome\nBetter together\nDiverse and inclusive\n\nManager fundamentals\n\nModel\nCoach\nCare\n\nLeadership principles\n\nCreate clarity\nGenerate energy\nDeliver success\nWho We Are: GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.\nOur teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.\nJoin us, and let’s change the world, together.\nEEO Statement: GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!","company":"Github","rawCompany":"github","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-09-28T11:22:19.565Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist","description":"About GitHub: GitHub is the world’s leading platform for agentic software development — powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.\nLocations: In this role you can work from Remote, United States\nOverview:\n\nGitHub is seeking experienced professionals to elevate our data and analytics efforts. As a Senior Data Scientist in Data Science, you will leverage your deep expertise and knowledge of data science, AI/ML, analytics engineering, and business to lead data acquisition efforts, conduct thorough review of data analysis and data quality, form hypotheses and discover insights in the data to support business stakeholders and their decision making. The ideal candidate will contribute to the impact of our Data Science initiatives and gain deep insights into the latest advancements in AI, machine learning and data science.\n\nResponsibilities:\nLead data acquisition efforts and ensure data is properly formatted and accurately described, while adhering to GitHub's privacy policies\nMentor others in data cleaning and data analysis best practices. Identify gaps in current data sets and drive onboarding of new data sets from production systems or third-party vendors.\nResolve data integrity problems in collaboration with relevant teams to promote upstream change and long-term quality\nLeverage broad and deep knowledge of data modeling techniques, AI/ML tools, programming languages and query languages to create models, conduct experiments, analyze results, evaluating the methodology and performance of team members' models and recommending improvements.\nDrive best practices relative to model validation, implementation, and application, and partners with teams across the organization to identify and explore new opportunities for driving transformative solutions for our stakeholders and customers.\nDevelop and articulate data-driven strategies in consideration of business priorities and lead conversations with end customers and/or internal stakeholders to understand, define, and solve business problems.\nCommunicate complex statistics, and machine learning topics to diverse audiences (e.g., multidisciplinary teams, customers, technical and non-technical audiences)\nIndependently writes efficient, readable, extensible code that spans multiple features/solutions. Contributes to the code/model review process by providing feedback and suggestions for implementation and improvement.\nDrive operational excellence for model deployment (i.e. performance, scalability, monitoring, maintenance, integration into engineering production system, stability)\nProduce project plans to define necessary steps required for completion, leading to a measurable improvement in business performance metrics over time.\nQualifications:\n\nRequired Qualifications:\n\nBachelor's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 5+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR Master's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 3+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR Doctorate in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field\nOR equivalent experience\n\nPreferred Qualifications:\n\nTechnical understanding of data science techniques for regression, classification, time-series analysis, experimental design, causal inference\nProficiency in programming languages such as Python or R, experience with query languages such as SQL and KQL, and with data manipulation tools like Spark and Airflow\nAble to clearly communicate findings to non-technical stakeholders through storytelling and visualization with tools like Jupyter notebooks or Azure Data Explorer/ PowerBI dashboards\nCompensation Range: The base salary range for this job is USD $124,000.00 - USD $329,200.00 /Yr.\n\nThese pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.\n\nThis position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.\nGitHub Leadership Principles:\n\nGitHub values\n\nCustomer-obsessed\nShip to learn\nGrowth mindset\nOwn the outcome\nBetter together\nDiverse and inclusive\n\nManager fundamentals\n\nModel\nCoach\nCare\n\nLeadership principles\n\nCreate clarity\nGenerate energy\nDeliver success\nWho We Are: GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.\nOur teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We’re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are—because we know that people flourish when they can work on their own terms.\nJoin us, and let’s change the world, together.\nEEO Statement: GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!","datePosted":"2026-09-28T11:22:19.565Z","dateModified":"2026-09-28T11:22:19.565Z","hiringOrganization":{"@type":"Organization","name":"Github","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"49ca7692b17e02be6959d7f8"},"url":"https://jobsearcher.com/jobs/49ca7692b17e02be6959d7f8"}}