What a time to join Microsoft! The Office of the Chief Economist works across the company to pursue commercial value using economic and data-driven thinking. Some examples of our work include algorithms that grow Microsoft’s cloud revenue and resource efficiency; some of the first-ever studies of how Artificial Intelligence (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 impactful projects answering some of Microsoft’s most pressing challenges. You will work directly with business partners to identify opportunities. You will discover enormous datasets for analysis. You will use statistics and machine learning to deliver statistically sound causal insights to senior leadership.

We are looking for someone who can dive deep into sophisticated modeling approaches when needed; but more importantly, they know when a simple and pragmatic solution will do just as well, and they know how to inspire the same in others. Understanding how to tell good stories through data, how to visualize, and how to use many fast iterations in the face of ambiguous problems is key. This is an opporutnity to thrive in an environment that promotes learning through diverse projects.

Our team values entrepreneurship, craftsmanship, and continuous learning. You will be able to shape and grow a positive and productive data science culture. 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. 

Responsibilities

• 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 team members, promoting a culture of learning and evangelizing modern data science methods.
• Refine a state-of-the-art infrastructure that efficiently connects data across Microsoft’s many businesses and enables analysis at scale.
• Other
  • Embody our Culture and Values

Qualifications

Required/Minimum Qualifications

• Doctorate in Computer Science, Electrical Engineering, Data Science, Physics, Economics, Operations Research, or related field AND 1+ year(s) data-science experience in industry (e.g., managing data infrastructure, applying statistical techniques, reporting results, organizing work)
  • OR Master's Degree in Computer Science, Electrical Engineering, Data Science, Physics, Economics, Operations Research, or related field AND 3+ years data-science experience in industry
  • OR Bachelor's Degree in Computer Science, Electrical Engineering, Data Science, Physics, Economics, Operations Research, or related field AND 3+ years data-science experience in industry
  • OR equivalent experience.
• 1+ year experience in python and R; deep knowledge of at least one of them.
• 1+ year experience with data query systems such as SQL and Spark, and management platforms such as Fabric, Databricks, SQL Server or Cosmos.

Additional or Preferred Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results))
  • OR equivalent experience.
• 1+ year experience in statistical reasoning and machine learning methods.
• 1+ year experience communicating data insights to senior business leaders.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until February 28, 2025.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.