The Principal Data Scientist role at Microsoft Copilot focuses on leading ecosystem-level measurement strategies across various products and businesses. The MAI Ecosystem Data Science team is responsible for defining metrics and experimentation frameworks that guide AI investment decisions. The ideal candidate will combine expertise in experimentation, statistics, and causal inference with strong business judgment. This position offers a unique opportunity to influence how Microsoft AI measures value and uncovers growth opportunities.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience, OR Master's Degree in a related field AND 5+ years data-science experience, OR Bachelor's Degree in a related field AND 7+ years data science experience, OR equivalent experience.
• 6+ years of experience in Python, R, C++, Java, C#, or similar programming languages.
• Demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis.
• Experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions.
• Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences.

• Define the measurement strategy, metrics, and decision frameworks that guide product and investment decisions across the Microsoft AI ecosystem.
• Lead ecosystem-level analyses, experimentation, and causal inference to uncover opportunities, quantify impact, and drive business outcomes.
• Partner across product, engineering, business, and executive leadership teams to shape strategy, roadmap priorities, and resource allocation.
• Identify emerging opportunities, risks, and market dynamics before they become visible in product-level metrics.
• Design and evolve North Star metrics and evaluation systems that accurately measure user value, business impact, and long-term ecosystem health.
• Drive alignment and execution across organizations through influence, scientific rigor, and trusted partnerships.
• Raise the bar for analytical excellence through technical leadership, mentorship, and best practices in measurement, experimentation, and data science.

• 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.