Senior Data Scientist

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. 

Responsibilities

This role supports marketing audience design through the creation of targetable commercial audiences using deep data and modeling knowledge. They will build predictive commercial audience models using various data and collaborate with those in data engineering teams on data requirements and storage. 

• Apply technical commercial marketing/ media data knowledge to inform audience modeling design 
• Lead team knowledge on commercial data assets and use cases for marketing 
• Collaborate with other data scientists on business goals and outcomes for audiences 
• Write durable code for predicting audiences based on testing goals and addressable market sizes using SQL, Python, Azure Databricks and similar tools 
• Use statistical knowledge to assess quality of models and audience predictions 
• Create requirements and drive consistency for various media based models and analytic approaches
• Track and analyze KPIs relating to audiences 
• Embody our Culture and Values 

Qualifications

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. 
• Experience with Python or SQL.
• Experience building predictive models.
• Experience scaling models leveraging tools such as Databricks and languages like PySpark.

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.
• 6+ 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.