| Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
49 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $181k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 59% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $177k 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.

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View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

As a Senior Data Scientist at Microsoft's Identity Security data organization, you will design and build large-scale machine learning and AI-driven systems that protect users from malicious activities across various platforms. Your daily tasks include framing detection problems, exploring telemetry data, building models, deploying them in production, and monitoring their performance. You will collaborate closely with software engineering, product management, and security researchers to translate complex security challenges into actionable solutions. The role requires strong programming skills in Python, experience with large-scale data processing tools like Apache Spark and SQL on cloud platforms, and a solid foundation in machine learning and statistical modeling. Ideal candidates have prior experience delivering ML models into production and applying AI techniques such as LLMs and agent-based systems to security domains.

What you'll do

  • Design and develop production machine learning models for detecting security threats.
  • Own the entire process of building ML detections from problem framing to post-launch monitoring.
  • Analyze large-scale telemetry data to identify attacker behavior and new detection opportunities.
  • Define and run rigorous experiments to establish quality standards for AI systems.
  • Partner with engineering teams to ensure models are scalable and maintainable in production.
  • Translate ambiguous security problems into clear metrics and shipped solutions with product management.

What we're looking for

  • Bachelor's degree in a relevant field plus 4+ years of experience or equivalent.
  • Experience delivering ML models into production with software/data engineering teams.
  • Proficient in Python and large-scale data processing on cloud-based platforms.
  • Strong foundation in machine learning, statistical modeling, and experimentation.
  • Proven ability to operate independently in ambiguous problem spaces.
  • Experience applying data science/ML to security, fraud, abuse, or risk detection.

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