| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: US
Salary: $119,800–$234,700 / yr
Posted: 57 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 Microsoft Copilot Studio's COO Data Science team is seeking a Senior Data Scientist to drive business growth through analytics and machine learning solutions that inform strategic decisions. This role involves designing experiments, building scalable models, and providing actionable insights to accelerate business outcomes by partnering with product managers, engineers, and stakeholders. The ideal candidate will translate complex business questions into clear metrics and forecasts, enabling leaders to make informed decisions about revenue and customer success. Key responsibilities include leading quantitative analyses for customer adoption and usage expansion, developing AI-driven heuristics, and operationalizing analytics at scale while ensuring accuracy and reliability in production models. Preferred qualifications include experience with cloud environments like Azure or AWS, hands-on skills in Python or R for machine learning, and the ability to communicate complex insights clearly to senior leadership.

Skills

Python R SQL Kusto Azure AWS Spark A/B testing Causal inference Machine learning Data engineering Cloud computing CI/CD Large-scale datasets Analytics

What you'll do

Lead quantitative analyses to identify customer adoption and revenue drivers.
Design and develop scalable ML models for forecasting and capacity planning.
Analyze experiments to evaluate product features' impact on business metrics.
Partner with cross-functional teams to define success metrics and goals.
Build robust data pipelines and monitoring systems for production analytics.
Communicate complex analyses as clear narratives for executive decision-making.

What we're looking for

Extensive experience driving business growth through data-driven insights.
Proven track record of partnering with cross-functional teams to influence strategic decisions.
Hands-on expertise in building scalable analytics and machine learning models.
Strong background in experimentation frameworks for measuring business impact.
Proficient in large-scale data engineering and cloud environments like Azure or AWS.
Ability to communicate complex analyses clearly to senior leadership.
Experience writing SQL or Kusto queries for analyzing large datasets.

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