The Principal Data Scientist role at Microsoft involves shaping business value through advanced analytics and influencing strategy for key customers. This position is part of the Industry Solutions Delivery Engineering & Architecture Group, focusing on high-impact engagements and cross-functional collaboration. The role requires a hands-on technical leader who can translate ambiguous business problems into scalable data science solutions. The Principal Data Scientist will also mentor future data scientists and drive the adoption of best practices across teams.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data science experience
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data science experience
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years of data science experience
• Equivalent experience may be considered

• Drive alignment between customer business priorities and data science strategy across complex engagements.
• Define the data readiness strategy for complex engagements by establishing expectations for data quality and governance.
• Define modeling strategies for ambiguous, high-impact business problems and select appropriate approaches.
• Establish evaluation frameworks that connect model performance, business impact, and responsible AI requirements.
• Identify opportunities to create new value across customers and industries by translating emerging needs into reusable approaches.
• Provide principal-level technical leadership in code quality, maintainability, and debugging practices.
• Partner with customers to define strategic roadmaps for data science and AI solutions.

• 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.