Senior Data Scientist | Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
6 days ago
Closes
Dec 5, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

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

This role pays more than 56% of similar roles. Most pay $152,150–$208,850 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k 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 1568 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1397 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist | Microsoft Careers

As a senior data scientist at Bing, you will join a team dedicated to advancing predictive modeling, product analysis, and A/B experimentation. Your role involves developing accurate forecast models to guide business and product decisions, driving impact analysis for critical features, and defining key success metrics for customer satisfaction and retention. You will work closely with engineering teams to track the contributions of individual initiatives across the product lifecycle and use advanced statistical methods and data tools to analyze large-scale telemetry data. Additionally, you will create tools to help feature teams understand metric changes, all while contributing to Bing’s growth in a highly data-driven environment. The ideal candidate has experience with SQL-like query languages, programming skills in Python or similar languages, and familiarity with search engines and online instrumentation.

What you'll do

  • Develop highly accurate forecast models to inform business and product risks and opportunities.
  • Drive impact analysis for critical features to enable agile decision-making.
  • Define and track key organizational success metrics across the product lifecycle.
  • Analyze large-scale telemetry data using advanced statistical methods to uncover trends.
  • Build tools to help feature teams understand the impact of their changes on metrics.
  • Develop strategies to correlate key Bing metrics with customer satisfaction and retention.

What we're looking for

  • Extensive experience developing highly accurate forecast models for business insights
  • Proficiency in performing hands-on analysis of large-scale telemetry data using advanced statistical methods and tools
  • Strong background in building machine learning models on large scale datasets
  • Expertise in SQL-like query languages and programming languages like Python, Java, C#, or C++
  • Experience with search engines and online instrumentation for consumer behavior analysis
  • Ability to work independently, influence others, and possess solid communication skills

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