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Principal Data Scientist

Microsoft Redmond, WA

Redmond, WA

Today

$143k - $304k/yr Full time Artificial Intelligence Big Data Data Analysis

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Job Description

Lead data science work for Microsoft AI’s MSN Growth and Analytics team, applying big data, experimentation, and recommendation analytics to improve engagement and recommendation quality.

Responsibilities

Partner with cross-functional teams to understand product features, estimate impact, and drive engagement improvements using insights from big data
Improve product outcomes by evaluating performance metrics and user feedback
Build self-service dashboards and reports for multiple stakeholder groups using reporting platforms
Analyze large datasets to surface patterns, trends, and content performance to strengthen recommendation relevance and quality
Develop a metrics system to support Business Health measurement and enable fast root-cause identification when metrics shift
Perform business modeling to uncover growth opportunities and initiate projects with positive long-term ROI
Design and run A/B tests to evaluate algorithm performance and propose iterative improvements based on results
Communicate findings, insights, and recommendations to technical and non-technical stakeholders to support informed decision-making
Act as a thought partner for engaged stakeholders to help drive business outcomes

Requirements

Doctorate in Data Science (or related field) and 3+ years data-science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results
OR Master’s Degree in Data Science (or related field) and 5+ years data-science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results
OR Bachelor’s Degree in Data Science (or related field) and 7+ years data-science experience, including managing structured and unstructured data, applying statistical techniques, and reporting results
OR equivalent experience

Preferred Qualifications

Doctorate in Data Science (or related field) with 5+ years data-science experience, including managing structured and unstructured data, applying statistical techniques and reporting results
OR Master’s Degree in Data Science (or related field) with 8+ years data-science experience, including managing structured and unstructured data, applying statistical techniques and reporting results
OR Bachelor’s Degree in Data Science (or related field) with 12+ years data-science experience, including managing structured and unstructured data, applying statistical techniques and reporting results
OR equivalent experience
7+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy
Prior product analytics, web analytics and/or content analytics experience
Interpersonal communication skills and ability to use data to tell a story
Stakeholder management capability, including prioritization, clear and concise communication, and delivery of actionable data-driven insights
Knowledge of big data processing from raw events to metrics and insights using PySpark/Scala
Knowledge of content ecosystem, ads, and online shopping metrics

Tech Stack

PySpark/Scala

Work Location

Redmond, WA (hybrid)

Compensation

USD 142,800 - 304,200 per year
Data Science IC5 typical base pay range across the U.S.: USD $142,800 - $274,800 per year
Different base pay range may apply in the San Francisco Bay area and New York City metropolitan area: USD $188,000 - $304,200 per year

Start Date and Office Attendance

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week
Expectation is subject to local law and may vary by jurisdiction

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