The Principal Data Scientist role at Microsoft AI focuses on enhancing user experiences through data-driven insights and analytics. The position is part of the Growth and Analytics team, which aims to empower users by providing personalized content and improving recommendation systems. The ideal candidate will leverage their expertise in data science to drive engagement improvements and identify growth opportunities. This role requires collaboration with various stakeholders to communicate findings and implement data-driven strategies.

• 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 the same fields AND 5+ years data-science experience, OR Bachelor's Degree in the same fields AND 7+ years data-science experience, OR equivalent experience.
• 7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
• Previous product analytics, web analytics, and/or content analytics experience.
• Interpersonal communication skills and the ability to leverage data to tell a story.
• Demonstrated stakeholder management ability including effective prioritization and clear communication.

• Work with engaged stakeholders who value your skills and consider you a thought partner in driving the business.
• Collaborate with cross-functional teams to understand features, estimate impacts, and drive engagement improvements based on insights from big data.
• Enhance products by evaluating performance metrics and user feedback, and develop self-service dashboards and reports for various stakeholders.
• Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of recommendation systems.
• Build a metrics system to measure Business Health and quickly identify root causes when metrics change.
• Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
• Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on results.
• Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders.

• 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.