The Principal Data Scientist at Global Skilling will set the technical vision for measurement and learning intelligence across Microsoft skilling experiences. This role focuses on driving innovation in production-scale solutions that measure learner progress and personalize content. The candidate will lead high-impact problem spaces, shaping product strategy and platform architecture. Collaboration with various Microsoft teams is essential to influence senior leaders and deliver innovations that improve learner outcomes.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years of data-science experience
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data-science experience
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience
• Equivalent experience in data science

• Architect and deliver production-scale agentic solutions that measure learner progress and personalize content.
• Define and operationalize enterprise-scale measurement methodologies for learner journeys and proficiency progression.
• Build and evolve skill graphs, taxonomies, and competency models to power agentic measurement and personalization.
• Establish evaluation and observability frameworks for predictive and adaptive learning systems.
• Set the experimentation and causal-measurement strategy for skilling outcomes using various analytical methods.
• Partner with cross-functional teams to shape platform architecture and data strategy.
• Serve as a technical leader for the data science community by mentoring scientists and setting standards.

• 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.