Microsoft
Principal Data Scientist
$143K–$304K
Mountain View, CA +1 · On-site · Principal · Full-time · Posted Sep 29, 2026
- Location
- Mountain View, CA
Redmond, WA - Experience
- 3+ years with a doctorate, 5+ with a master's, or 7+ with a bachelor's in a related field; equivalent experience accepted. Preferred: 5+, 8+, or 12+ years respectively. Also lists 6+ years in programming languages as a preferred qualification.
- Education
- Doctorate, master's, or bachelor's degree in a listed related field, or equivalent experience.
About the job
Leads ecosystem-wide measurement, experimentation, and data science to guide Microsoft AI product strategy, investment decisions, and resource allocation.
What you'll do
- Define metrics, measurement strategy, and decision frameworks across the Microsoft AI ecosystem.
- Lead analyses, experimentation, and causal inference to identify opportunities and quantify impact.
- Influence cross-functional strategy and resource allocation; mentor teams and advance analytical best practices.
What they ask for
- Doctorate in a listed related field plus 3+ years of data-science experience, or master's plus 5+ years, or bachelor's plus 7+ years, or equivalent experience.
- Expertise in statistics, experimentation, causal inference, and large-scale data analysis.
- Experience developing metrics, evaluation frameworks, and measurement systems for product and business decisions.
- Experience influencing strategy and leading cross-functional initiatives through data-driven insights.
Nice to have
- Doctorate plus 5+ years, master's plus 8+ years, or bachelor's plus 12+ years of data-science experience, or equivalent experience.
- 6+ years of experience in Python, R, C++, Java, C#, or similar programming languages.
Pay
USD $142,800 - $274,800 per year (base pay); USD $188,000 - $304,200 per year (base pay)
Tools
Python, R, C++, Java, C#
AI focus
Measures value and ecosystem health for AI-powered consumer experiences and informs Microsoft AI investments.
Model-written summary · the original posting is authoritative