Senior Applied Data Scientist | Microsoft Careers

Microsoft

Hybrid

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 63% of similar roles. Most pay $152,955–$202,165 — the shaded band above. At the midpoint, this role pays about $177k versus about $178k 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 1103 open roles on FindRole.

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

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At a glance

TL;DR · Senior Applied Data Scientist | Microsoft Careers

The Ads Data Management Platform team at Microsoft Advertising is hiring Applied Scientists to enhance the User Identity graph across all MAI surfaces, driving measurable impact in ads personalization, audience targeting, and measurement. This role involves building deep expertise in identity graphs through advanced research techniques and identifying product needs by leveraging industry trends and applied technologies. Day-to-day responsibilities include reviewing business requirements, incorporating cutting-edge research, and providing strategic direction for data usage to solve complex problems. Ideal candidates should have a strong background in data science, machine learning, and predictive modeling, with experience in developing graph-based identity models using deterministic and probabilistic matching algorithms to construct large-scale datasets. The role requires proficiency in Python, SQL, and other relevant tools, as well as expertise in statistical analysis and experimental design at scale.

What you'll do

  • Build deep expertise in constructing user identity graphs using advanced research techniques.
  • Develop predictive models for cross-device user stitching using deterministic and probabilistic methods.
  • Ensure the integrity and reliability of large-scale datasets used in identity graph construction.
  • Translate complex data insights into actionable strategies to enhance ads personalization and targeting.
  • Conduct rigorous data analysis to inform product development and unlock new business opportunities.

What we're looking for

  • Proven experience in data science and machine learning.
  • Expertise in building and analyzing large-scale identity graphs.
  • Ability to develop predictive models for business impact.
  • Conduct rigorous data analysis and translate insights into action.
  • Experience with deterministic and probabilistic matching algorithms.
  • Deep knowledge of industry trends and applied technologies.

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