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Job Details
Posted date: Aug 27, 2025
There have been 59 jobs posted with the title of Principal Data Scientist all time at Microsoft.There have been 59 Principal Data Scientist jobs posted in the last month.
Category: Research, Applied, & Data Sciences
Location: Redmond, WA
Estimated salary: $222,050
Range: $139,900 - $304,200
Employment type: Full-Time
Work location type: Up to 50% work from home
Role: Individual Contributor
Description
Teams Science, Strategy and Data Team is looking to hire a Principal Data Scientist. Do you have a passion for using data to help build great products? If so, we are looking for folks like you who love building high-quality products and embrace agile experimentation and helping the teams be data inspired.We’re working on Microsoft Teams Calling, Meetings and Devices. If you're passionate about building cutting-edge solutions that empower teamwork and communication, we want to hear from you! Microsoft Teams is the central hub for teamwork, bringing together people, content, and tools to enhance team engagement and effectiveness. It plays a pivotal role in Microsoft’s vision for modern work, modern life, and AI. We are revolutionizing how people communicate and collaborate across the globe.
A key part of this role will be supporting the development of exciting new AI tools for meetings. You will be working with a best-in-class product team to build the future of AI in meetings. You will be helping ideate, launch and measure these advances in meeting AI capabilities.
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.
Strategy: Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.Measurement: Define, invent, and deliver metrics which accurately measure the quality of online information, and the satisfaction/success of our customers.Models: Develop ML/Statistical models to measure/predict the quality of online content and/or user interactions with large scale AI systems.Experimental Design: Think critically about sampling and experimental design. Developing innovative strategies and products in these areas.Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.Cooperation: Partner effectively with product management, engineers, and other areas of the business.Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
Qualifications
Required Qualifications:Doctorate 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 Master'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 technOR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical teOR equivalent experience.5+ years partner-facing, project-delivery experience, professional services, and/or consulting experience.5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
5+ years of strong hands-on skills in SQL, and R or Python to implement statistical models, machine learning, and analysis (prediction, classification, clustering, time series forecasting, regression models, etc.).
Proficiency using one or more programming or scripting language like Python, R, SQL work with data.Preferred Qualifications:
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.Master’s Degree or higher in data science, Statistics, Computer Science, Engineering or another quant-focused fieldStrong partnership, collaboration, and interpersonal skills
Experience with experiments, machine learning, deep learning, anomaly detection, predictive analysis, exploratory data analysis, and other areas of data science
Experience driving data science practices & methodology improvements across disciplines including Finance, Marketing and EngineeringData Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 September 3rd, 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.
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