Principal, Data Science & Analytics

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$142,800–$274,800 / yr
Posted
47 days ago
Closes
Nov 8, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k
This role $209k
$94k most similar roles pay here $294k

This role pays more than 80% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $162k 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 668 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 615 roles with salary data.

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At a glance

TL;DR · Principal, Data Science & Analytics

As a Principal Data Scientist on Microsoft AI’s Ecosystem Data Science Team, you will lead cross-product measurement strategies and partner with various teams to ensure high-quality metrics and data-driven decision-making. Your day-to-day involves mentoring junior data scientists, developing advanced analytics frameworks, executing experiments, and collaborating closely with product, engineering, and business stakeholders to integrate data science solutions into shared platforms. You will apply machine learning, statistical modeling, and data mining techniques to large datasets, optimize performance across products, and influence complex tradeoffs through compelling insights. Essential skills include expertise in Python, SQL, R, and proficiency in tools like Azure ML, Spark, and Hadoop. This role demands a deep understanding of scalable AI ecosystems and the ability to drive technical excellence and innovation in a dynamic environment.

What you'll do

  • Lead data scientists to align work with MAI ecosystem goals and drive technical innovation.
  • Develop data strategies for marketplace performance, ensuring standardized data collection and analysis.
  • Apply machine learning and statistical modeling to large datasets to measure user and business value.
  • Design and execute experiments across user dimensions to optimize product performance and reliability.
  • Identify opportunities for cross-team improvements and implement data-driven solutions to enhance efficiency.
  • Engage stakeholders with actionable insights and make independent decisions to drive product improvements.
  • Establish standards and best practices for high-quality code and operationalize ML models effectively.

What we're looking for

  • Extensive experience in developing data strategies and executing advanced analytics.
  • Proven track record in machine learning, statistical modeling, and experimentation with large datasets.
  • Strong leadership skills to mentor data scientists and drive cross-team collaboration.
  • Expertise in designing and implementing experiments for user and demand dimensions.
  • Ability to partner closely with product, engineering, and business teams on data science solutions.
  • Experience in identifying opportunities for process improvement through data-driven methods.
  • Technical proficiency in developing and standardizing processes for data acquisition and operationalizing ML models.

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