Principal Data Scientist | Microsoft Careers

Microsoft

Hybrid

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $171k
This role $209k
$115k most similar roles pay here $292k

This role pays more than 78% of similar roles. Most pay $134,100–$208,800 — the shaded band above. At the midpoint, this role pays about $209k versus about $171k 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 1589 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1415 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Principal Data Scientist | Microsoft Careers

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The Principal Business Analytics Data Scientist role at Microsoft AI’s MSN & Copilot Discover team involves partnering closely with cross-functional teams to drive business insights and strategic planning, focusing on user engagement, content discovery, and revenue optimization. This senior-level position requires developing forecasting models, automating business insights through AI and machine learning, and evaluating trade-offs between user experience and monetization. The ideal candidate will have deep expertise in content ecosystems, digital advertising, and monetization analytics, along with proficiency in data analysis tools like SQL, Python, and R. They must be adept at influencing senior stakeholders and translating complex data into actionable business decisions to support product investments and business outcomes at scale.

Skills

Python SQL Azure AWS Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL Redis Snowflake Tableau PowerBI Hadoop Spark TensorFlow PyTorch AI MachineLearning Forecasting Experimentation

What you'll do

  • Serve as a trusted analytics partner to leadership, translating data into clear business recommendations.
  • Analyze user engagement, content consumption, and revenue performance to identify growth opportunities.
  • Develop business frameworks connecting product initiatives with monetization outcomes.
  • Build forecasting models for engagement, traffic, ad requests, and revenue.
  • Evaluate tradeoffs between user experience, engagement, and monetization for long-term growth.
  • Leverage AI and machine learning solutions to automate insights and improve decision-making processes.

What we're looking for

  • Extensive experience in content ecosystems and recommendation systems.
  • Proven track record of influencing product strategy through data-driven insights.
  • Deep understanding of AI-powered consumer experiences and their impact on monetization.
  • Strong analytical skills for forecasting, scenario planning, and decision-making frameworks.
  • Experience leading analytics initiatives for large-scale consumer products with millions of users.
  • Familiarity with key engagement and monetization metrics in advertising marketplaces.
  • Comfortable navigating ambiguity and influencing senior stakeholders through data storytelling.

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