GitHub · 21 hours ago
Senior Data Scientist - Revenue Intelligence
United States
Full-time
Remote
Senior Level
$113K/yr - $299K/yr
5+ years expGitHub is the world’s leading platform for agentic software development, and they are seeking a Senior Data Scientist to elevate their data and analytics efforts. The role involves leading data acquisition, conducting data analysis, and providing insights to support business stakeholders.
Artificial Intelligence (AI)Cloud ComputingDeveloper ToolsInternetProject ManagementSaaSSoftware
Responsibilities
Lead data acquisition efforts and ensure data is properly formatted and accurately described, while adhering to GitHub's privacy policies
Mentor 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
Resolve data integrity problems in collaboration with relevant teams to promote upstream change and long-term quality
Leverage broad and deep knowledge of 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. Anticipate the risks of data leakage, bias/variance tradeoff, and methodological limitations
Drive 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
Develop 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
Track advances in industry and academia, and adapt algorithms and/or techniques to drive innovation and develop new solutions. Serves as a subject matter expert and mentor for team members
Communicate complex statistics, and machine learning topics to diverse audiences (e.g., multidisciplinary teams, customers, technical and non-technical audiences)
Independently 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
Drive operational excellence for model deployment (i.e. performance, scalability, monitoring, maintenance, integration into engineering production system, stability)
Produce project plans to define necessary steps required for completion, leading to a measurable improvement in business performance metrics over time. Utilize project results to decide on next steps (e.g., deployment, further iterations, new projects)
Qualification
Required
Bachelor'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
OR 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
OR 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
OR equivalent experience
3 + years of experience 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
Preferred
Technical understanding of data science techniques for regression, classification, time-series analysis, experimental design, causal inference
Able to clearly communicate findings to non-technical stakeholders through storytelling and visualization with tools like Jupyter notebooks or Azure Data Explorer / PowerBI dashboards
Benefits
Annual bonus
Stock
Competitive pay
Generous learning and growth opportunities
Excellent benefits
Company
GitHub
GitHub is a software company that offers code hosting services that allow developers to build software for open-source and private projects. It is a sub-organization of Microsoft.
501-1000 employees
H1B Sponsorship
GitHub has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (17)
2023 (14)
2022 (20)
2021 (20)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$350MKey Investors
Sequoia CapitalAndreessen Horowitz
2018-06-03Acquired
2015-07-29Series B· $250M
2015-06-19Secondary Market
Leadership Team
PJ Hyett
Co-Founder
Kyle Daigle
Chief Operating Officer
Recent News
The French Tech Journal
2026-01-08
Company data provided by crunchbase