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Principal Data & Analytics Scientist

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Microsoft Corporation

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Location:
United States , Redmond ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience
  • 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
  • Experience in organizational, analytical, data science skills and intuition
  • Ability to solve problems that the world has not solved before
  • Cross-group and cross-culture collaboration
  • Experience to communicate insights to senior leaders
  • Experience with driving large collaboration across multiple teams
  • Experience with communicating with different audiences to provide insights
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights

Nice to have:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Business Analytics, Management or related field AND 8+ years data-science experience
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience
  • OR equivalent experience

Additional Information:

Job Posted:
January 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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