Data Scientist II

• Develop scalable, high-performance analytics solutions and trusted data assets that enable data-driven decision-making. 

• Work with development teams to improve instrumentation quality, partner with product stakeholders, build relevant datasets, define success metrics, create dashboards, scorecards, visualizations, and tools to democratize data and foster a data-driven culture. 

• Execute targeted analyses to understand customer behavior, feature adoption, engagement, retention, and product impact. 

• Collect requirements, create dashboards and report, and deliver actionable insights and recommendations to business and product teams. 

• Utilize artificial intelligence and agentic development to improve data pipelines and analytics platforms, and leverage AI-powered tools to accelerate insight generation, improve analytics productivity, and enhance data quality. 

• Communicate analytical findings through presentations, written insights, and cross-functional collaboration, demonstrating teamwork and ownership. 

• Take part in the on-call roster to monitor and mitigate data service degradation and downtime. 

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
  • OR Master's Degree 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 consulting experience
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience. 

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience developing data and analytics solutions using cloud technologies such as Azure, Cosmos. Familiarity with scripting and query languages including PowerShell, KQL, and SQL, and programming languages such as C#, TypeScript, Python, or similar technologies.
• Experience analyzing product telemetry, defining metrics, and generating insights to support data-informed decision-making. 
• Experience applying statistical analysis, experimentation, and product analytics to evaluate feature performance and customer engagement. 
• Familiarity with AI-powered tools and agentic workflows to improve productivity, automate analysis, and accelerate insight generation. 
• Familiarity with video creation and consumption technologies and industry trends is a plus. 
• Committed to quality, including security, privacy, compliance, and performance. 
• Ability to translate business questions into analytical approaches and communicate insights to technical and non-technical stakeholders

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.