Principal, Data Science & Analytics

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $165,600–$296,400 / yr
Posted: 2 days ago
Closes: Dec 23, 2026
Nearby: 99 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $162k

This role $231k

$91k most similar roles pay here $318k

This role pays more than 90% of similar roles. Most pay $126,800–$198,000 — the shaded band above. At the midpoint, this role pays about $231k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 636 roles with salary data.

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At a glance

TL;DR · Principal, Data Science & Analytics

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The Principal Data Scientist and Analytics role at Microsoft AI's Ecosystem Data Science Team involves leading a team to develop and execute data strategies that enhance cross-product measurement, ensuring high-quality metrics and fostering innovation. Day-to-day responsibilities include mentoring data scientists, designing advanced analytics frameworks using machine learning and statistical modeling, and collaborating with product and engineering teams to integrate data-driven solutions into platforms. The role requires expertise in Python, R, or similar languages, along with a strong background in mathematics, statistics, or related fields, typically at the doctoral level with extensive experience. Candidates must excel in creating scalable systems for data collection and analysis, driving cross-functional collaboration, and delivering actionable insights to stakeholders across diverse teams.

Skills

Python R MATLAB C# Java Machine Learning Statistical Modeling Experiment Design SQL Azure CI/CD Git Jupyter Notebook PowerBI Tableau Kafka Hadoop Spark PostgreSQL MSSQL

What you'll do

Lead data scientists and align projects with MAI ecosystem goals.
Develop and execute cross-product measurement strategies and validate results.
Apply machine learning and statistical modeling to large datasets for insights.
Design and implement experiments to measure user and business value impacts.
Optimize performance by identifying and implementing data-driven solutions across teams.
Establish standards and best practices for high-quality, efficient code and models.

What we're looking for

Doctorate in Data Science or related field with 8+ years of data science experience.
Master's Degree in a relevant field and at least 10 years of data science experience.
Expertise in programming languages such as Python, R, MATLAB, C#, Java, or C++.
Proven ability to solve complex, novel problems using advanced analytics techniques.
Strong organizational skills with excellent intuition for data science applications.
Experience leading cross-functional teams and driving large-scale collaborations.
Demonstrated success in applying statistical methods and metrics to generate actionable insights.

Principal Data Scientist

Walmart

Bellevue, WA 24 days ago $132,000–$264,000

Python Spark Scala R TensorFlow PyTorch scikit-learn SQL Hive Java Agentic Gen AI Machine Learning Statistics Big Data Ecosystem CI/CD Mentorship Kaggle

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