Data Scientist III

What you'll work on

• Identify and acquire data necessary for analysis, perform transformation and exploration, while adhering to GitHub's privacy policies
• Build, maintain, and refine forecasting models for the business trends and business resource needs. Translate forecasts into actionable staffing and scheduling recommendations aligned with service-level goals.
• Deliver forward-looking insights to highlight risks and enable proactive action.
• Present findings and recommendations through visualizations, dashboards and PowerBI reports to support decision making for strategic and operational audiences.
• Collaborate with Support Leadership, Analytics, and cross-functional partners to align on forecasting assumptions, methodologies, and resource planning priorities and drive operational excellence through careful forecasting, proactive monitoring, and diagnostics.
• Collaborate closely with the engineering team to consider upcoming AI automations and their impact on support capacity needs
• Collaborate with others to perform data science experiments using established methodologies and statistics, identifying appropriate tools and techniques.
• Leverage broad and deep knowledge of modeling techniques for forecasting, and scaling workforce. Consider and account for risks of data leakage, bias/variance tradeoff, and methodological limitations.
• Write efficient, readable and extensible code that spans multiple features/solutions, adhering to software engineering concepts and practices.
• Build documentation for knowledge transfer and deployment of predictive analytic models.

*Qualifications

Required Qualifications**

• Bachelor's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 4+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques), forecasting, capacity planning, or workforce analytics or related field

  • OR Master's Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field AND 2+ years experience in data science (e.g., managing structured and unstructured data, applying statistical techniques) or related field
  • OR Doctorate Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field
  • OR equivalent experience.

What we're looking for

• Strong proficiency in data analysis and visualization tools (e.g., Power BI, SQL, Excel).
• Excellent problem-solving and communication skills, with the ability to influence stakeholders and present insights with clarity.
• Experience building forecasting models and translating outputs into actionable recommendations.
• Forecasting in support operations experience
• Experience in Python, MySQL or similar