below marketmost similar roles pay hereabove market
This role pays more than
68%
of similar roles. Most pay
$154,512–$214,500
— the blue band above.
At the midpoint, this role pays about
$204k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Principal Data Scientist joins the Customer Service & Support organization to help resolve complex technical issues and drive product changes. In this role, you will lead the design and analysis of large-scale experiments and observational studies, selecting appropriate causal inference approaches for various problems. You will develop and productionize advanced machine learning and causal models to drive strategic decisions while establishing best practices for statistical rigor and model validation. Key responsibilities include mentoring associate data scientists, influencing metric definitions, and communicating complex results to senior stakeholders. Required skills include expert-level causal inference, advanced statistics, and machine learning expertise. You must be proficient in Python, R, and SQL, with experience using causal ML libraries like DoWhy, EconML, and CausalML to evaluate LLMs and AI agents.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
Lead the design and analysis of large-scale experiments and observational studies.
Develop and productionize advanced machine learning and causal models for strategic decisions.
Establish best practices for experimentation, statistical rigor, and model validation across the team.
Influence metric definitions, measurement strategies, and product roadmaps through data-driven insights.
Mentor associate data scientists and review analyses for methodological soundness.
Communicate complex results and technical trade-offs to senior stakeholders.
What we're looking for
Bachelor's Degree in Computer Science, Information Technology, or related field and 10+ years of technical support, consulting, or IT experience.
Ability to meet Microsoft, customer, and government security screening requirements, including verification of U.S. citizenship.
Bachelor's Degree in Computer Science, Information Technology, or related field and 15+ years of technical support, consulting, or IT experience (preferred).
Expert-level causal inference skills to choose, apply, and critique experimental and observational methods (preferred).
Advanced statistics knowledge including inference, uncertainty quantification, and Bayesian and frequentist approaches (preferred).
Strong ML expertise in end-to-end modeling, robust validation, and production deployment (preferred).
Experience evaluating LLMs or AI agents by building rigorous evaluation frameworks and benchmarking (preferred).
Expert proficiency in Python or R and SQL (preferred).
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