| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
60 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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As a Senior Data Scientist in the IDEAS Security Data Science team at Microsoft, you will lead the development of AI-first and agent-driven analytical solutions that enhance security product experiences. Your day-to-day responsibilities include designing and productionizing machine learning models and agents to automate analysis and decision-making, collaborating with engineering teams to ensure these systems have real-world impact, and conducting statistical analyses to validate business hypotheses. You will work with large-scale telemetry data using tools like Spark and Azure Data Lake, ensuring that your solutions are scalable and compliant with privacy and security standards. Additionally, you will mentor junior team members and contribute to the adoption of AI-native patterns within the organization, driving product strategy through data-driven insights and clear communication of complex technical topics to non-technical stakeholders.

Skills

Python SQL Spark Azure Data Lake LLMs Machine Learning Supervised Learning Unsupervised Learning Causal Inference Bayesian Methods Data Pipelines Distributed Architectures MLOps CI/CD

What you'll do

  • Design and build AI-first solutions that operate within Security product workflows.
  • Develop intelligent systems using ML and LLMs to automate analysis and decision-making.
  • Define success metrics for AI agents and continuously improve them based on feedback.
  • Translate complex analytical outputs into clear business recommendations for security products.
  • Mentor junior data scientists in applied machine learning and AI-first development practices.

What we're looking for

  • 5+ years of data science experience or equivalent education and experience.
  • Strong applied machine learning skills including model development and evaluation.
  • Experience in designing and executing controlled experiments using advanced statistical techniques.
  • Ability to build and mentor a team of junior data scientists in AI-first practices.
  • Proficiency in Python, SQL for data management and analysis (R optional).
  • Familiarity with deploying ML/AI models in production environments and ensuring compliance.

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