The Data Scientist role at Microsoft AI focuses on maximizing GPU utilization while addressing significant AI challenges. The position is part of the abuse prevention team, which aims to ensure the safety and productivity of the Copilot AI system. Candidates should possess strong technical skills and a data-driven approach to problem-solving. The role emphasizes collaboration with engineers, product managers, and marketing to enhance user engagement and retention.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience, OR
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience, OR
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience, OR equivalent experience.

• Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.
• Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation.
• Define metrics and build basic data pipelines to enable A/B experimentation for new features and mitigating abusive users.
• Conduct hands-on analysis of large volumes of telemetry data using various algorithms and tools.
• Articulate insights, storyboard with data, and communicate to influence leadership and other key decision makers.
• Find a path to get things done despite roadblocks to deliver work to users quickly and iteratively.
• Work collaboratively with engineers, product managers, and marketing to drive user growth, engagement, and retention.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.