Senior Data Scientist

GitHub, Inc. • UNAVAILABLE, UNAVAILABLE

5d • Remote

About The Position

GitHub is seeking a Senior Data Scientist to advance its data and analytics work. The role applies expertise in data science, AI/ML, analytics engineering, and business to lead data acquisition, review analyses and data quality, develop hypotheses, and uncover insights that support stakeholders’ decisions. The position contributes to Data Science initiatives and works with current developments in AI, machine learning, and data science.

The Senior Data Scientist develops data-driven strategies aligned with business priorities, works with internal stakeholders and customers to define and solve business problems, and collaborates across the organization to explore solutions. The role also supports model quality and operational excellence, communicates complex topics to diverse audiences, and plans projects around measurable business improvements. The role is remote within the United States.

Requirements

• Bachelor’s degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or a related field and 5+ years of experience in data science or a related field; or a master’s degree in one of these fields and 3+ years of experience; or a doctorate in one of these fields and 1+ year of experience; or equivalent experience.
• Experience in data science, including managing structured and unstructured data and applying statistical techniques.

Nice To Haves

• Technical understanding of data science techniques for regression, classification, time-series analysis, experimental design, and causal inference.
• Proficiency in programming languages such as Python or R; experience with query languages such as SQL and KQL; and experience with data manipulation tools such as Spark and Airflow.
• Ability to clearly communicate findings to non-technical stakeholders through storytelling and visualization using tools such as Jupyter notebooks or Azure Data Explorer/Power BI dashboards.

Responsibilities

• Lead data acquisition efforts and ensure data is properly formatted and accurately described in accordance with GitHub privacy policies.
• Mentor others in data cleaning and analysis best practices; identify data gaps and drive onboarding of data from production systems or third-party vendors.
• Resolve data integrity problems with relevant teams, promoting upstream changes and long-term data quality.
• Use data modeling techniques, AI/ML tools, programming languages, and query languages to create models, conduct experiments, analyze results, evaluate team members’ model methodology and performance, and recommend improvements.
• Drive best practices for model validation, implementation, and application, and partner across the organization to identify opportunities for solutions for stakeholders and customers.
• Develop data-driven strategies that consider business priorities and lead conversations with customers or internal stakeholders to understand, define, and solve business problems.
• Communicate complex statistics and machine learning topics to multidisciplinary teams, customers, and technical and non-technical audiences.
• Write efficient, readable, extensible code independently across multiple features or solutions; contribute feedback and suggestions to code and model reviews.
• Drive operational excellence for model deployment, including performance, scalability, monitoring, maintenance, integration into engineering production systems, and stability.
• Produce project plans defining the steps needed for completion and measurable improvement in business performance metrics over time.

Benefits

• Competitive pay
• Generous learning and growth opportunities
• Excellent benefits
• Certain roles are eligible for an annual bonus and stock; eligibility and allocation depend on the role and individual impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior