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Microsoft Sr Principal Economist 
United States 
731416748

20.11.2024

in Xboxconsists of Data Scientists, Analysts, Product Managers, and Engineers whosupport all of Gaming finding our way out of local maxima and finding our next best growth opportunities. Not only do we report official data andKey Performance Indicators(KPI)to the entire organization, we also actively support product and engineering teams to assess opportunities where we should apply effort and resources, as well as measure the results of our collective work.

Sr. Principalpartner closely with our Data Scientists, Analysts, and Data Engineers, as well as with product, engineering, and marketing counterparts across Gaming to apply an economics lens to our analyses and recommendations. This role requires understanding and depth of analytic rigor as it relates to market dynamics, pricing strategies, and customer behavior.You will help shape the future of gaming by influencing decisions about our global product offerings, pricing, and helping us compete in a variety of market dynamics.Your work will involve applying economic theories, statistical models, and data analyses techniques to help drive informed decision-making and improve our business performance.

be responsible forpartnering across multiple data teams to ensure analyses are considered globally rather than locally and that recommendations are made with consideration to global maxima across Gaming.Be a performance-minded thinker with good sensibility to know how much effort and rigor applies situationally.They will challenge conventions to get to breakthrough work and results.

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.

Required/Minimum Qualifications

  • Doctorate inrelevant field such asEconomics,with focus on applied economics, industrial organization or econometricsor other related fieldAND 5+ years related researchexperience
  • OR equivalent experience.
  • 5+ years of quantitative and analytical experience in data manipulation, data visualization, and related programming languages (such as Python, R, and/or SQL).

or Preferred Qualifications

  • Doctorate in relevant field AND 8+ years related researchexperience.
  • OR equivalent experience.
  • Experience publishing academic papers as a lead author or essential contributor.
  • Experience with Machine Learning (ML) and/or Artifical Intelligence (AI)
  • participatingin a top industry conference in relevant research domain.
  • Experience working with large datasets and conducting empirical research using economic principles.
  • Ability to work well across groups, including engineering, product management, marketing, and finance.
  • Prior experience in games/entertainment industry

Research Sciences IC6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until November 25, 2024.


Responsibilities
  • Analyze large datasets to extract meaningful insights andidentifypatterns, trends, and relationships relevant to businessobjectives.
  • Conduct economic research to understand market dynamics, consumer behavior, competitive landscape, and industry trends.
  • Evaluate pricing strategies, conduct price optimization analysis, and assessthe impactof pricing changes on customer demand and profitability.
  • .
  • .
  • Collaborate with cross-functional teams, including business leaders, data scientists, engineers, product managers, analysts, and marketers to provide economic insights and recommendations.
  • Present findings, insights, and recommendations to both technical and non-technical stakeholders through reports, presentations, and data visualizations.
  • Embody our