Data Scientist III

Role overview

Responsibilities

• check_circle Identify and acquire data necessary for analysis, perform transformation and exploration, while adhering to GitHub's privacy policies
• check_circle 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.
• check_circle Deliver forward-looking insights to highlight risks and enable proactive action.
• check_circle Present findings and recommendations through visualizations, dashboards and PowerBI reports to support decision making for strategic and operational audiences.
• check_circle 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.
• check_circle Collaborate closely with the engineering team to consider upcoming AI automations and their impact on support capacity needs
• check_circle Collaborate with others to perform data science experiments using established methodologies and statistics, identifying appropriate tools and techniques.
• check_circle 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.
• check_circle Write efficient, readable and extensible code that spans multiple features/solutions, adhering to software engineering concepts and practices.
• check_circle Build documentation for knowledge transfer and deployment of predictive analytic models.
• check_circle 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.
• check_circle 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
• check_circle OR Doctorate Degree in Data Science, Mathematics, Physics, Statistics, Economics, Operations Research, Computer Science, or related field
• check_circle OR equivalent experience.

Preferred qualifications

• 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
• Customer-obsessed
• Ship to learn
• Growth mindset
• Own the outcome
• Better together
• Diverse and inclusive
• Model
• Coach
• Care
• Create clarity
• Generate energy
• Deliver success

About the company