Principal Data Scientist Lead

Microsoft

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$130,900–$277,200 / yr
Posted
82 days ago
Freshness
Confirmed live today
Closes
Feb 2, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $204k
$109k $295k
below market most similar roles pay here above market

This role pays more than 70% of similar roles. Most pay $152,881–$213,564 — the blue band above. At the midpoint, this role pays about $204k versus about $183k 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.

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At a glance

TL;DR · Principal Data Scientist Lead

The Principal Data Scientist Lead joins the Customer Service & Support organization to drive technical leadership and methodological excellence. In this role, you will set long-term visions for experimentation, causal inference, and machine learning while architecting scalable modeling frameworks adopted across teams. You will perform high-stakes analyses to identify causal relationships critical to strategic decisions and advise executives on measurement strategies. Day-to-day responsibilities include mentoring senior data scientists, championing reproducibility, and performing data storytelling. You must possess deep statistical mastery, expert machine learning skills, and experience evaluating LLMs and AI agents. Required technical proficiencies include Python, R, and SQL, along with visualization tools like matplotlib, seaborn, and plotly. This position solves complex technical problems within the customer service and support product area.

What you'll do

  • Set the long-term vision and standards for experimentation, causal inference, and machine learning across the organization.
  • Drive complex, high-stakes analyses where correct causal identification is critical to strategic decisions.
  • Architect scalable modeling and experimentation frameworks for adoption across multiple teams.
  • Advise executives and cross-functional leaders on measurement strategy and the interpretation of results.
  • Mentor senior data scientists and shape hiring and technical growth for the discipline.
  • Champion methodological excellence, reproducibility, and compelling data storytelling.

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.
  • Equivalent experience to the degree and years of experience requirement.
  • Ability to meet Microsoft, customer, and government security screening requirements.
  • Verification of U.S. citizenship via a valid passport.
  • Bachelor's Degree in Computer Science, Information Technology, or related field and 15+ years of technical support, consulting, or IT experience (preferred).
  • Authority in causal inference to design novel identification strategies and adjudicate hard causal questions (preferred).
  • Deep statistical mastery in inference, uncertainty, experimental design, and modern statistical methods (preferred).
  • Expert ML skills in advanced modeling, validation, and production-grade deployment at scale (preferred).

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