Find jobs
Pricing
Free Resume Checker
Sign in
Sign up
FIND JOBSPRICINGFREE RESUME CHECKERSIGN INSIGN UP
Jobs
/Data Scientist jobs
MI
Microsoft

Principal Data Scientist

Salary$143k – $304k
LocationUnited States, California, Mountain View, United States, Washington, Redmond
Work modeon-site
Typefull-time
SeniorityLead
Experience3+ yrs
DepartmentData Science
EquityIncluded
Company size10,000+ people
First seenSep 4, 2026 · 1mo ago
Verified live3h ago
At a glanceSummarised by Seekless from the posting.
Must have3
Doctorate in Data Science or related field AND 3+ years data-science experience
Master's Degree in Data Science or related field AND 5+ years data-science experience
Bachelor's Degree in Data Science or related field AND 7+ years data science experience
Nice to have11
Doctorate in Data Science or related field AND 5+ years data-science experience
Master's Degree in Data Science or related field AND 8+ years data-science experience
Bachelor's Degree in Data Science or related field AND 12+ years data-science experience
6+ years of experience in Python, R, C++, Java, C#, or similar programming languages
Demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis
Experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions
Proven track record of identifying high-impact opportunities and solving complex, ambiguous problems across multiple organizations
Experience influencing product strategy and driving alignment among stakeholders with differing objectives through data-driven insights and recommendations
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences
Experience leading large cross-functional initiatives and collaborating effectively across product, engineering, business, and analytics teams without direct authority
Experience building and evaluating production-scale data, analytics, machine learning, or experimentation systems
Eligibility1
Microsoft AI employees starting January 26, 2026 who live within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week
Skills
Python
R
C++
Java
C#
Overview
Microsoft Copilot is building an ecosystem of AI-powered consumer experiences across Search, Copilot, Edge, MSN, and beyond. The MAI Ecosystem Data Science team defines the metrics, experimentation frameworks, and measurement systems that shape how Microsoft AI evaluates success, identifies opportunities, and makes investment decisions at scale.
We are seeking a Principal Data Scientist to lead ecosystem-level measurement strategy across products and businesses. In this role, you will develop the scientific foundations that guide some of Microsoft’s most important AI investments, partnering closely with product, engineering, business, and executive leaders to influence strategy, execution, and resource allocation.
The ideal candidate combines deep expertise in experimentation, statistics, metrics, and causal inference with exceptional business judgment and influence. You thrive in ambiguity, challenge assumptions with data, and transform complex signals into clear decisions that drive product and business impact.
This is a unique opportunity to shape how Microsoft AI measures value across the ecosystem, uncover new growth opportunities, and help define the future of AI-powered consumer experiences.
About the company
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
•
Define the measurement strategy, metrics, and decision frameworks that guide product and investment decisions across the Microsoft AI ecosystem.
•
Lead ecosystem-level analyses, experimentation, and causal inference to uncover opportunities, quantify impact, and drive business outcomes.
•
Partner across product, engineering, business, and executive leadership teams to shape strategy, roadmap priorities, and resource allocation.
•
Identify emerging opportunities, risks, and market dynamics before they become visible in product-level metrics.
•
Design and evolve North Star metrics and evaluation systems that accurately measure user value, business impact, and long-term ecosystem health.
•
Drive alignment and execution across organizations through influence, scientific rigor, and trusted partnerships.
•
Raise the bar for analytical excellence through technical leadership, mentorship, and best practices in measurement, experimentation, and data science.
Qualifications
Required 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.
Preferred 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 8+ 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.
•
6+ years of experience in Python, R, C++, Java, C#, or similar programming languages.
•
Demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis.
•
Experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions.
•
Proven track record of identifying high-impact opportunities and solving complex, ambiguous problems across multiple organizations.
•
Experience influencing product strategy and driving alignment among stakeholders with differing objectives through data-driven insights and recommendations.
•
Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences.
•
Experience leading large cross-functional initiatives and collaborating effectively across product, engineering, business, and analytics teams without direct authority.
•
Experience building and evaluating production-scale data, analytics, machine learning, or experimentation systems.
#MicrosoftAI
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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.
Benefits
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
Hiring process
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Legal
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.
More roles at Microsoft
Security Research InternSenior Full Stack Engineering - FabricSenior Software Engineer - Voice AgentSr. Hardware Technical Program ManagerMember of Technical Staff, Microsoft Robotics (Robotics Simulation)
Seekless
Seek less: one search across companies' own career pages, instead of a dozen job boards.
Product
Find jobsCompaniesPricingFree Resume CheckerBlog
Legal
AboutPrivacyTermsCookies
© 2026 SEEKLESS. ALL RIGHTS RESERVED.BUILT WITH CARE