Microsoft
Principal Data Scientist
$131K–$304K
Redmond, WA +3 · On-site · Principal · Full-time · Posted Aug 6, 2026
- Location
- Redmond, WA
Irving, TX
Charlotte, NC
Fargo, ND - Experience
- 10+ years required; 15+ years is listed as an additional or preferred qualification. Both allow equivalent experience.
- Education
- Bachelor's Degree in Computer Science, Information Technology (IT), or related field, or equivalent experience.
- Visa sponsorship
- U.S. citizenship verification via a valid passport is required due to citizenship-based legal restrictions.
About the job
Leads experimentation, causal analysis, and machine learning work to inform strategic decisions and measurement, while mentoring data scientists and communicating findings to senior stakeholders.
What you'll do
- Design and analyze experiments and observational studies, selecting appropriate causal inference methods.
- Develop and productionize machine learning and causal models; establish practices for experimentation, statistical rigor, and model validation.
- Influence measurement strategy, mentor data scientists, and communicate analytical results to senior stakeholders.
What they ask for
- Bachelor's Degree in Computer Science, Information Technology (IT), or related field, or equivalent experience.
- 10+ years technical support, technical consulting experience, or information technology experience.
- Ability to meet Microsoft, customer and/or government security screening requirements; U.S. citizenship verification is required.
- Expert proficiency in Python or R and SQL.
Nice to have
- Experience evaluating LLMs and/or AI agents, including rigorous evaluation frameworks and benchmarking.
- Experience with causal ML libraries (DoWhy, EconML, CausalML) at scale.
Pay
USD $130,900 - $277,200 per year base salary; USD $165,600 - $303,600 per year base salary
Tools
Python, R, SQL, DoWhy, EconML, CausalML, matplotlib, seaborn
AI focus
Develop and productionize advanced machine learning and causal models; preferred experience includes evaluating LLMs and/or AI agents for quality, safety, and reliability.
Model-written summary · the original posting is authoritative