Principal Data Scientist

Microsoft

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$142,800–$274,800 / yr
Posted
18 days ago
Freshness
Confirmed live yesterday
Closes
Feb 20, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $209k
$98k most similar roles pay here $294k

This role pays more than 81% of similar roles. Most pay $137,743–$200,446 — the shaded band above. At the midpoint, this role pays about $209k versus about $169k 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 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 586 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · Principal Data Scientist

As a Principal Data Scientist on the MSN & Copilot Discover Business Analytics team, you will serve as a trusted partner to cross-functional teams including Product, Engineering, Marketplace, and Finance. You will be responsible for driving business insights, forecasting, strategic planning, and experimentation to influence product investments and outcomes. Your daily work involves building forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue while leveraging AI and machine learning solutions to automate insights and scale analytical capabilities. The role requires expertise in content ecosystems, digital advertising, and monetization to navigate the trade-offs between user experience and revenue optimization. You will utilize advanced statistical techniques to manage structured and unstructured data, focusing on metrics like session time, retention, and marketplace efficiency within a complex content discovery and recommendation system environment.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Translate complex data into clear business recommendations for leadership and cross-functional teams.
  • Analyze user engagement, content consumption, and marketplace dynamics to identify growth opportunities and risks.
  • Develop frameworks connecting product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for traffic, ad requests, and revenue.
  • Implement AI and machine learning solutions to automate insights and improve forecasting accuracy.
  • Evaluate trade-offs between user experience and monetization to support long-term business growth.
  • Communicate data-driven stories to senior stakeholders to influence product investment decisions.

What we're looking for

  • A Doctorate, Master's, or Bachelor's degree in a quantitative field with 5, 7, or 10 years of data science experience respectively.
  • Equivalent experience to the specified educational and experience requirements is acceptable.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or discovery platforms (preferred).
  • Experience partnering with advertising, monetization, or marketplace organizations (preferred).
  • Familiarity with engagement and monetization metrics such as sessions, retention, RPM, and ad requests (preferred).
  • Experience leading analytics for large-scale consumer products with millions of users (preferred).
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights (preferred).
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders (preferred).

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