As a Principal Data Scientist on the AI Infrastructure Data team, you will lead the delivery of strategic data science projects that leverage advanced analytics and AI solutions to drive business impact. This role requires a blend of technical expertise and stakeholder engagement, focusing on improving the reliability and efficiency of Microsoft's AI systems. You will work with large datasets and collaborate closely with Data Engineers and other teams to identify high-impact opportunities. The position emphasizes responsible AI practices and the continuous enhancement of solution capabilities.

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years of data-science experience, OR
• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of data-science experience, OR
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years of data-science experience, OR equivalent experience.
• Proficiency in Python and SQL; experience with cloud platforms, preferably Azure.
• Knowledge of Responsible AI principles and ethical data practices.
• Experience with broader software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of Machine Learning solutions.

• Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements.
• Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions.
• Acquire, clean, and prepare large datasets for modeling.
• Build and deploy predictive and prescriptive models using modern machine learning techniques.
• Present findings to senior stakeholders using compelling storytelling and visualizations.
• Act as a trusted advisor to internal teams and customers, ensuring solutions meet business needs.
• Promote responsible AI practices, including fairness, transparency, and explainability in model and application development.

• 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.