| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
US
Salary
$119,800–$234,700 / yr
Posted
59 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 66% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 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 1580 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1408 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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The Senior Data Scientist role on the Data & Engineering team within Microsoft’s Copilot and Platform Ecosystem (CAPE) involves partnering with data engineering, product management, and engineering teams to transform large-scale telemetry into actionable insights for leadership reporting and product experiences across M365 Copilot, Teams Copilot, and Microsoft Teams. Daily responsibilities include defining metrics, designing experiments, evaluating outcomes, and ensuring data products are reliable and aligned with business needs. The ideal candidate will have experience analyzing large datasets using SQL-based systems like Kusto or ADX, designing analytical studies to inform product decisions, and communicating insights through narratives and dashboards. Familiarity with Python for modeling, AI/ML evaluations, and cloud platforms such as Azure Data Explorer is preferred, emphasizing the importance of data quality and consistency in a high-scale environment.

Skills

Kusto ADX Cosmos SQL Spark Python R Azure Data Explorer Cosmos DB Power BI AI/ML A/B testing Cohort analysis Retention analysis Data quality Data freshness Signal pipelines Forecasting Segmentation Classification Documentation Analytics best practices

What you'll do

  • Define analytical questions and success metrics for Copilot business outcomes in partnership with teams.
  • Analyze large-scale telemetry data to deliver actionable insights for leadership and partner teams.
  • Design and interpret experiments to measure the impact of product features and platform changes.
  • Own and evolve core metrics, ensuring consistency and trust across reporting systems.
  • Improve data quality by identifying gaps and strengthening signal pipelines with data engineering.
  • Build analytical models or lightweight ML solutions to support forecasting and outcome measurement.
  • Communicate complex analyses as concise narratives for both technical and non-technical audiences.

What we're looking for

  • 2+ years of experience analyzing large datasets using SQL-based systems and analytics platforms.
  • Experience designing and interpreting experiments and analytical studies to inform product or business decisions.
  • Strong communication skills for presenting complex analyses to both technical and non-technical audiences.
  • Familiarity with Python, R, or similar languages for data analysis and modeling.
  • Experience working in a data-intensive product environment with telemetry at scale.

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