Principal Data Scientist

Microsoft

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Salary
$130,900–$277,200 / yr
Posted
36 days ago
Freshness
Confirmed live yesterday
Closes
Feb 2, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $204k
$98k most similar roles pay here $296k

This role pays more than 76% of similar roles. Most pay $137,743–$200,446 — the shaded band above. At the midpoint, this role pays about $204k versus about $169k 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 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Principal Data Scientist

As a Principal Data Scientist within the Customer Service & Support team, you will drive strategic decisions by designing and analyzing large-scale experiments and observational studies. You will be responsible for developing and productionizing advanced machine learning and causal models while establishing best practices for statistical rigor and model validation across the team. The role involves mentoring associate data scientists, influencing metric definitions, and communicating complex results to senior stakeholders. To succeed, you must possess expert-level knowledge in causal inference methods like DiD and synthetic control, along with deep expertise in advanced statistics and machine learning. You will utilize Python or R, SQL, and causal ML libraries such as DoWhy, EconML, or CausalML. Additionally, the role involves evaluating LLMs and AI agents to build robust frameworks for measuring quality and reliability at scale.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Design and analyze large-scale experiments and observational studies using appropriate causal inference methods.
  • Develop and productionize advanced machine learning and causal models to drive 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 their analyses for methodological soundness.
  • Communicate complex results and technical trade-offs to senior stakeholders.
  • Resolve highly complex technical issues by engaging with executive customers and development teams.

What we're looking for

  • Bachelor's Degree in Computer Science, Information Technology, or a related field.
  • 10+ years of technical support, technical consulting, or information technology experience.
  • Verification of U.S. citizenship is required to meet government security screening requirements.
  • Expert-level knowledge of causal inference methods including DiD, IV, propensity matching, and synthetic control.
  • Advanced statistics skills including inference, uncertainty quantification, and Bayesian/frequentist approaches.
  • Strong machine learning expertise in end-to-end modeling, validation, and production deployment.
  • Experience evaluating LLMs or AI agents using rigorous evaluation frameworks at scale.
  • Expert proficiency in Python or R and SQL for data storytelling and visualization.

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