| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
48 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

Microsoft AI is hiring a Data Scientist for its Copilot team to develop metrics and drive insights for the personal AI assistant. This role involves architecting solutions that measure user interaction and feature performance through experimentation, enabling A/B testing, and analyzing large datasets using advanced algorithms. The ideal candidate will articulate findings to influence leadership decisions and work closely with cross-functional teams. Preferred qualifications include a doctorate or extensive experience in data science-related fields, proficiency in Python, R, or C#, and expertise in building data pipelines and conducting complex analyses. Candidates should also have a keen interest in AI trends and be adept at communicating technical concepts clearly to diverse stakeholders.

What you'll do

  • Develop metrics for Copilot usage and quality.
  • Drive product insights through analysis of large telemetry datasets.
  • Enable A/B experimentation for new features and evaluate performance.
  • Articulate data-driven insights to influence leadership decisions.
  • Build data pipelines to support analytics and experiment scenarios.

What we're looking for

  • PhD in Data Science or related field with 5+ years of data-science experience.
  • Bachelor's Degree in Data Science or related field with 10+ years of data-science experience.
  • Experience in prompt engineering and using large language models (LLMs).
  • Proficiency in programming languages like Python, R, or C# for data analysis.
  • Ability to develop metrics, conduct trend analysis, and measure traffic patterns.
  • Hands-on experience building data pipelines and supporting analytics experiments.
  • Strong interpersonal skills and clear communication with cross-functional teams.

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