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Senior Data Scientist

https://www.microsoft.com/ Logo

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:

119800.00 - 234700.00 USD / Year
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Job Description:

The Office of the Chief Economist works across the company to pursue commercial value using economics and data science. Examples of our work include algorithms that grow Microsoft’s cloud revenue and resource efficiency; some of the first-ever studies of how AI changes the way that people work; and market design for software resellers. We are looking for a Senior Data Scientist with broad technical skills, business acumen, and a player-coach attitude. You will work alongside world-class colleagues on high-visibility projects answering some of Microsoft’s most pressing challenges. You will work directly with business partners to identify opportunities. Your initial first project will involve building algorithmic support for our deal teams, using machine learning, experimentation, and good old-fashioned analytics. This is an opportunity to rethink, build, and operate internal processes and software.

Job Responsibility:

  • Understand business needs and develop appropriate data analysis to meet those needs including pipelining, exploratory data analysis, modeling, inference, and experimentation
  • Collaborate with senior economists to solve some of Microsoft’s most pressing issues, delivering tangible commercial value
  • Together with your team, interpret and present analysis results to senior stakeholders
  • Coach more junior team members, promoting a culture of learning and evangelizing modern data science methods
  • Build a robust product that makes data, econometrics, and ML useful for deal teams in the field
  • Embody our culture and values

Requirements:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • equivalent experience
  • 1+ year of experience in preparing and executing analysis plans, evaluating various statistical methods (ML, causal inference, classical methods) and choosing the most appropriate approaches given business requirements
  • 1+ year of industry experience in python and R and data query systems such as SQL or Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos
  • 1+ year of industry experience working with cross-functional teams, gathering requirements, and building requirements into analysis plans
  • 1+ year of experience with MLops, running Production-grade ML systems and experience with Sales processes
  • 1+ year of engineering experience in a modern cloud stack, including serverless methods and demonstrated experience leveraging your skills using AI

Nice to have:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • equivalent experience

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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