Principal Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Mar, 26

Salary

274800.0

Posted On

18 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Natural Language Processing, Deep Learning, Graph Mining, Differential Privacy, User Identity Resolution, Data Pipelines, APIs, Predictive Analytics, Research, User Segmentation, Targeting, Personalization, Measurement, Collaboration, Documentation

Industry

Software Development

Description

Overview The Data Management Platform (DMP), part of Microsoft AI (MAI) is hiring for a Principal Applied Scientist in Redmond, WA or Mountain view, CA. The Data Management Platform (DMP) team is at the heart of user understanding for Microsoft Advertising. We build and operate large-scale data pipelines, machine learning models, and APIs that enable user segmentation, targeting, personalization, and measurement for advertisers and publishers. We work with massive amounts of data from diverse sources such as web browsing, search queries, and interests. We apply advanced techniques in natural language processing, deep learning, graph mining, and differential privacy to extract insights and value from the data while preserving user trust and privacy. As a Principal Applied Scientist in User Mapping Service, you will join an existing platform team, conduct research and experimentation to design, develop, and evaluate novel user identity graph built in offline & NRT, and online identity resolution techniques, collaborate with product managers, engineers, technical program managers to understand business requirements, define success metrics, deliver end-to-end solutions, evaluate quality of user identity resolution, build user graphs for various policies for all across Microsoft AI organization, track metrics, generate user identity cluster score, gather DSAT data, and continuously improve the graph via experimentation. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. Responsibilities In this role you will: Master a broad area or research and understand any applicable research techniques. Serve as a team advocate on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs. Review business and product requirement, incorporate research, and provide strategic direction for problem solving. Ensure scientific rigor, support the development of methods, and apply your expertise to support business impact Identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline. Document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 3+ years experience developing machine learning models and deploying them in live production systems, as part of a product team. Preferred Qualifications: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, OR related field AND 9+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 5+ years experience conducting research as part of a research program (in academic or industry settings). 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping. 1+ year of experience building models for User identity graph. 1+ year of experience with Ads related technologies. #MicrosoftAI Applied Sciences 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 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.

Responsibilities

As a Principal Applied Scientist, you will conduct research and experimentation to design and evaluate novel user identity graphs and collaborate with various teams to understand business requirements. You will also track metrics and continuously improve the user identity graph through experimentation.