Senior Data Scientist

Who you are

• 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
• Technical understanding of data science techniques for regression, classification, time-series analysis, experimental design, causal inference
• Proficiency 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
• Able to clearly communicate findings to non-technical stakeholders through storytelling and visualization with tools like Jupyter notebooks or Azure Data Explorer/ PowerBI dashboards

What the job involves

• GitHub 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
• 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 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
• 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
• 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

Benefits

• Flexible time away to support balance in your work and life
• Clear diversity, inclusion, and anti-discrimination policies backed by business practices and company culture
• 100% of medical, dental, and vision insurance premiums covered by GitHub for you + your dependents. (Includes gender-affirming benefits)
• Five months of paid family leave to all new parents with the option to use it all at once or throughout the child’s first year
• Family forming benefits that cover fertility, infertility, adoption, and surrogacy costs and support
• Mental health benefits that offer resources and support and cover therapy and coaching sessions for you and your dependents
• Generous 401(k) matching with 50% match up to the IRS 402(g) limit (US; competitive non-US pension options internationally)
• Employee stock purchase plan that lets you purchase Microsoft stock at a discount. (Microsoft is our parent company.)