Principal Data Scientist

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WA
Salary: $142,800–$274,800 / yr
Posted: 11 days ago
Closes: Dec 14, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $168k

This role $209k

$101k most similar roles pay here $293k

This role pays more than 79% of similar roles. Most pay $135,000–$200,000 — the shaded band above. At the midpoint, this role pays about $209k versus about $168k 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 Scientist

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The Principal Business Analytics Data Scientist role at Microsoft AI’s MSN & Copilot Discover team involves partnering closely with product teams to drive business insights and strategic planning. This senior-level position requires deep analytical expertise and experience in content platforms, digital advertising, and monetization. Day-to-day responsibilities include translating complex data into actionable recommendations for leadership, developing forecasting models, and leveraging AI solutions to enhance decision-making processes. The ideal candidate will have a solid understanding of user engagement metrics and revenue performance, as well as the ability to navigate ambiguity and influence senior stakeholders. Familiarity with tools like Python, SQL, and machine learning frameworks is essential, alongside experience in large-scale consumer products and cross-functional leadership.

Skills

Python SQL Azure AWS Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Snowflake Tableau PowerBI Jupyter TensorFlow PyTorch Scikit-learn Spark MLOps

What you'll do

Analyze user engagement and content consumption to identify growth opportunities and risks.
Develop business frameworks connecting product initiatives with monetization outcomes.
Build forecasting models for engagement, traffic, ad requests, and revenue performance.
Evaluate tradeoffs between user experience, engagement, and monetization for long-term growth.
Communicate complex insights to senior stakeholders through data-driven storytelling.

What we're looking for

Extensive experience in content ecosystems and recommendation systems.
Proven track record of influencing product strategy through data-driven insights.
Expertise in analyzing engagement and monetization metrics for large-scale products.
Strong background in partnering with advertising, monetization, and marketplace teams.
Experience leading cross-functional initiatives involving multiple stakeholders.
Solid understanding of AI’s impact on user engagement and revenue optimization.

Remote

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