Principal, Data Science & Analytics | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
WA
Salary
$142,800–$274,800 / yr
Posted
1 day ago
Closes
Dec 1, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 68% of similar roles. Most pay $165,000–$214,500 — the shaded band above. At the midpoint, this role pays about $209k versus about $190k 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · Principal, Data Science & Analytics | Microsoft Careers

As a Partner, Data Science & Analytics at Microsoft AI’s Ecosystem Data Science Team, you will lead the development of cross-product measurement strategies and drive technical excellence through mentorship and collaboration with product, engineering, and business teams. Your daily tasks include applying machine learning and statistical modeling to large datasets, designing experiments for user and demand dimensions, and optimizing performance across products. You will leverage advanced analytics tools such as Python, SQL, and R to deliver actionable insights that enhance user experience and business value. This role requires expertise in data science techniques, a strong background in mathematics or statistics, and the ability to work in a dynamic environment where you can challenge the status quo and solve ambiguous problems with data-driven solutions.

What you'll do

  • Lead the development of ecosystem data strategies for marketplace performance.
  • Apply machine learning and statistical modeling to large datasets for accurate metric measurement.
  • Design and execute experiments across user dimensions to optimize product outcomes.
  • Identify opportunities for process improvement and implement data-driven solutions.
  • Develop standardized processes for data acquisition and operationalizing ML models.
  • Engage stakeholders with actionable insights and make independent decisions for the team.

What we're looking for

  • Extensive experience in data science and analytics, including managing structured and unstructured data.
  • Strong background in statistical techniques, machine learning, and data mining for large datasets.
  • Proven ability to design and execute experiments, translating strategies into actionable plans.
  • Leadership skills to mentor data scientists and drive technical excellence across teams.
  • Experience in developing and standardizing processes for data acquisition and operationalizing ML models.
  • Ability to collaborate closely with product, engineering, and business teams on data science solutions.
  • Strong influence and decision-making skills to engage stakeholders with compelling insights.

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