FIND_THE_RIGHTJOB.
Principal Data Science Manager
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
Principal Data Science Manager
Redmond, Washington, United States
Date posted
Oct 25, 2025
Job number
1902147
Work site
3 days / week in-office
Travel
0-25 %
Role type
People Manager
Profession
Research, Applied, & Data Sciences
Discipline
Data Science
Employment type
Full-Time
Overview
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
We are seeking a Principal Data Science Manager to build and lead a hybrid team at the intersection of data labeling/annotation operations and applied data science. Your team will deliver high-quality labeled datasets, active-learning loops that directly improve fraud detection precision/recall, reduce false positives, and speed time-to-mitigation across Microsoft businesses.
You will be a leader who sets strategy, hires and develops talent, drives cross-org execution, and ships measurable impact.
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.
Qualifications
Required/Minimum 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 technology)
- OR 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 technology)
- OR equivalent experience.
- 3+ years of people-management experience.
- 10+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Hands-on proficiency with Python and SQL.
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.
Additional/Preferred Qualifications
- Master’s/PhD in a quantitative field.
- Experience with active learning/uncertainty sampling and human-in-the-loop systems.
- Experience in Stakeholder management and executive communication; ability to set vision and drive cross-org programs to measurable outcomes.
- Graph analytics/ML and entity-relationship labeling (rings/collusion).
- Experience with online experimentation and real-time decisioning.
- Track record building inclusive teams and developing ICs/managers.
Data Science M5 - 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 October 30, 2025.
Responsibilities
People leadership & org health: Hire, lead, and develop a blended team of data scientists, label-ops leads, and analytics engineers; foster an inclusive culture and career growth.
Strategy & roadmap: Define the labeling/annotation strategy, taxonomy stewardship, and quality framework aligned to fraud risk priorities and partner roadmaps.
Active learning & data quality: Design sampling/uncertainty strategies, gold sets, and label accuracy.
Programmatic labeling: Introduce fragile supervision, heuristics, and graph-derived signals to pre-label data.
Detection enablement: Partner with engineering and data scientists to integrate labels into feature stores, model training, rules evaluation, and shadow tests.
Cross-functional influence: Translate ambiguous fraud patterns into clear label definitions and decision rubrics; align with Product, Engineering, and other stakeholders.
Executive communication: Report business impact and influence prioritization decisions.
Embody our culture and values.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Similar jobs
Senior Software Engineer - Applied AI
Microsoft
Redmond, United States
6 days ago
Senior Product Manager
Microsoft
Redmond, United States
6 days ago
Senior Data Analyst
Microsoft
Redmond, United States
6 days ago
Senior AI Applied Scientist
Microsoft
Redmond, United States
6 days ago
Principal Technical Program Manager
Microsoft
Redmond, United States
6 days ago
Principal Product Manager - AI Monetization
Microsoft
Redmond, United States
6 days ago
Machine Learning Engineer
Microsoft
Redmond, United States
6 days ago
© 2025 Qureos. All rights reserved.