| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$165,600–$296,400 / yr
Posted
102 days ago
Closes
Sep 2, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $194k
This role $231k
$124k most similar roles pay here $315k

This role pays more than 87% of similar roles. Most pay $173,200–$214,500 — the shaded band above. At the midpoint, this role pays about $231k versus about $194k 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 1577 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1405 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

The Principal Data Scientist and Analytics position at Microsoft AI’s Ecosystem Data Science Team involves leading cross-product measurement strategies, mentoring data scientists, and ensuring high-quality metrics through rigorous statistical analysis. This role requires developing advanced analytics frameworks using machine learning and statistical modeling to optimize user and business value across products. Key responsibilities include designing experiments, collaborating with product and engineering teams to integrate data science solutions, and driving performance optimization initiatives. The ideal candidate will have a PhD or equivalent experience in a quantitative field, along with expertise in Python, R, or similar languages, and strong skills in problem-solving, communication, and cross-team collaboration. This role demands proficiency in large-scale data analysis and the ability to influence decision-making across diverse stakeholders within Microsoft’s expansive AI ecosystem.

What you'll do

  • Lead and mentor data scientists to align with MAI ecosystem goals.
  • Develop and execute cross-product measurement strategies, ensuring metric quality.
  • Apply advanced analytics techniques to large datasets for accurate performance metrics.
  • Design and implement experiments to measure user and business value improvements.
  • Optimize product and process efficiency by identifying and implementing data-driven solutions.
  • Influence decision-making with compelling insights and handle complex tradeoffs independently.

What we're looking for

  • Doctorate or equivalent experience in a relevant field with extensive data science background.
  • Over 8 years of professional experience managing structured and unstructured data.
  • Proficiency in applying statistical techniques and reporting results effectively.
  • Experience leading cross-functional teams and driving technical excellence.
  • Expertise in machine learning, statistical modeling, and experimentation design.
  • Strong ability to communicate insights to senior leadership and diverse audiences.
  • Demonstrated success in large-scale collaboration across multiple teams.

More like this

Similar roles

| Microsoft Careers

Microsoft

WA 12 days ago $142,800$274,800
Python R SQL Machine Learning Statistical Modeling Data Mining Experimentation Frameworks Kubernetes AWS CI/CD Docker Git Jupyter Notebooks PostgreSQL Snowflake Power BI MLOps
Hybrid

Principal Data Scientist | Microsoft Careers

Microsoft

US 127 days ago $139,900$274,800
Python SQL MachineLearning StatisticalAnalysis DataVisualization AWS Azure CI/CD Git Scikit-learn Pandas NumPy TensorFlow Keras ResponsibleAI DataEngineering AgenticAISolutions MicrosoftProducts

Associate Principal, Data Analytics Engineering

The OCC

Chicago 98 days ago $103,400$177,600
Python SQL Tableau AWS Airflow Git Agile Pandas Numpy R Matlab REST APIs CI/CD PostgreSQL Alteryx Power BI Unix Curator Generative AI Prompt Engineering
Hybrid

| Microsoft Careers

Microsoft

US 104 days ago $142,800$274,800
SQL Azure SQL Database Power BI Excel Dynamics 365 ACM SIGMOD VLDB IEEE ICDE Machine Learning Artificial Intelligence Cloud Platforms Distributed Systems Resource Management Low-code Data Transformations Modern Hardware CI/CD