| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$100,600–$199,000 / yr
Posted
55 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k
This role $150k
$85k most similar roles pay here $251k

This role pays less than 84% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $150k 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

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As a Data Scientist II on Microsoft’s Business and Industry Copilots team, you will join the Managed Platform group responsible for powering global-scale applications with secure and compliant foundations. Your primary focus will be applying data science techniques to enhance platform reliability, optimize performance, and drive AI-driven insights that shape enterprise application futures. Day-to-day responsibilities include building machine learning models, integrating predictive analytics into distributed systems, designing experiments to validate hypotheses, developing monitoring dashboards, and communicating actionable findings to stakeholders. The role requires expertise in Python for model development, SQL for data handling, and a strong background in applied machine learning and statistical modeling, with experience working on large datasets essential.

Skills

Python SQL MachineLearning StatisticalModeling A/BTesting Dashboards Metrics CloudServices CI/CD Docker Kubernetes Terraform Azure AWS PostgreSQL MSSQL

What you'll do

  • Build and deploy machine learning models to enhance platform performance and reliability.
  • Integrate predictive insights into distributed systems to improve service efficiency.
  • Design experiments to validate hypotheses and measure impact on customer experience.
  • Develop dashboards to monitor model performance and ensure service health.
  • Communicate findings and recommendations to technical and business stakeholders effectively.

What we're looking for

  • Doctorate or Master's degree in Data Science, Mathematics, Statistics, Economics, Operations Research, Computer Science, or related field.
  • 2+ years of experience in data science, analytics, or a related area.
  • 2+ years of experience in applied machine learning and statistical modeling.
  • Proficiency in Python for data analysis and model development.
  • Experience with SQL and working with large datasets.

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