Microsoft

Senior Data Scientist

Redmond, WA US
USD 117k - 250k
Python SQL
Description

Microsoft’s Research + Insights Team is among the brightest, boldest, most innovative in the world. We are intellectually curious, analytical, persistent in sharing our opinions and recommendations, and believe impact is a team sport. We strive to have an open, inclusive, and transparent culture. As part of this team, you will have the opportunity to work on business-critical projects, learn from experts, and make a real impact on the future of technology. 

 

We are seeking an experienced and motivated Senior Data Scientist to join our team. 

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. 

 

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 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)
    • OR Master's Degree 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 Bachelor'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 equivalent experience.
  • Experience working within marketing analytics/ data sciences, advertising agency, or similar including knowledge of the latest audience testing technologies and experience with A/B testing.
  • Marketing analytics experience, including statistical test design.
  • Experience with Python or SQL.

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.
  • 7+ years experience working within marketing analytics/ data sciences, advertising agency, or similar including knowledge of the latest audience testing technologies.


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 January 22, 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.

This role supports marketing audience test design and the creation of relevant targetable audiences, partnering with data engineering and economist teams. They will guide strategy and execution on durable audience design through targeting tools, CRM systems, Data Management Platforms, Ad Tech Platforms including Cleanroom functionality, and KPIs for test and audience tracking to inform future campaigns. 

 

  • Apply technical marketing/ media experiences to audience design principles and targeting 
  • Leverage the latest industry standards and technology in marketing data tests to help build cleanroom and similar technologies. 
  • Drive collaboration across teams to ensure alignment with business objectives, including database design, and enhancement of data through identity graphs 
  • Integration of data across sources to enhance audiences and learnings 
  • Creates requirements for media experiments across publishers, including cleanroom functionality 
  • Communicate audience insights, technical methodologies, and KPIs to drive impact  
Microsoft
Microsoft
Data Management Developer Tools DevOps Enterprise Software Operating Systems

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