Principal Data & Analytics Scientist

We are inviting you to join the Microsoft Monetization Marketplace Management Team.  Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science and analytics problems across users, advertisers, and publishers. 

We are looking for a Principal Data & Analytics Scientist who is willing to work in a dynamic environment to solve real life day to day problems, leveraging data science and analytics techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.  

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.

By applying to this U.S. Redmond, WA OR Mountain View, CA OR New York, NY OR Atlanta, GA position, you are required to be local to the area and in office 3 days a week. 

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

Responsibilities

As a Principal Data & Analytics Scientist in the team, your major responsibilities include: 

• Product Insights: Deliver and interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve products.
• Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
• Experimental Design & Implementation: Think critically about sampling and experimental design across User and Demand dimensions. Translate strategy into plans that are clear and measurable, with progress shared out to stakeholders.
• Collaboration: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
• Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-driven workflows that influence product and service improvements.
• Make independent decisions for the team and handle difficult tradeoffs   
• Translate strategy into plans that are clear, actionable and measurable to drive impact. 

Qualifications

Required 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 at least one of programming languages like Python/R/MATLAB/C#/Java/C++
• 5+ years of experience with real world system building and data collection, including design, coding and evaluation  

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Business Analytics, Management or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data