Principal Data Scientist

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! 

Copilot Discover is a personalized AI content feed in Copilot apps. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Build metrics system to measure Business Health and quick identify the root cause when metrics moves. 
• Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data. 
• Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms. 
• Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.  
• Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI. 
• Design and conducting A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results.  
• Effectively communicate findings, insights, and make recommendations to both technical and non-technical stakeholders, enabling informed decision-making. 

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) \
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. 
• Previous web analytics, product analytics and or content analytics experience.  
• Knowledge of Ads and content ecosystem 
• Interpersonal communication and ability to leverage the data to tell a story.  
• Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable