Applied Scientist Manager

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$142,800–$274,800 / yr
Posted
1 day ago
Closes
Dec 27, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $197k
This role $209k
$127k most similar roles pay here $291k

This role pays more than 61% of similar roles. Most pay $164,412–$229,418 — the shaded band above. At the midpoint, this role pays about $209k versus about $197k 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 399 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 379 roles with salary data.

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View all roles at Microsoft

At a glance

TL;DR · Applied Scientist Manager

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As an Applied Scientist Manager in Microsoft’s Security organization, you will lead a team to drive product impact through applied research by designing and delivering scalable, data-driven solutions that enhance real-world products. You’ll bridge the gap between research and engineering, collaborating with teams to integrate cutting-edge technologies into production systems while identifying complex problems and influencing strategic decisions for long-term innovation. Your day-to-day involves building machine learning models, developing data pipelines, and mentoring team members to foster an inclusive environment focused on ethical AI practices. The role requires expertise in statistics, predictive analytics, and related fields, with extensive experience in both technical development and people management. You will work within a large-scale enterprise setting, tackling significant security challenges through advanced technological solutions.

Skills

Python Java C# SQL TensorFlow PyTorch Kubernetes Docker AWS Azure CI/CD MLOps Scikit-learn Pandas Numpy Git Jupyter PostgreSQL Spark

What you'll do

  • Design and deliver scalable, data-driven solutions to translate advanced research into real-world product improvements.
  • Lead the design, development, and deployment of machine learning models and data pipelines that scale across products.
  • Identify complex problems and define approaches to influence decisions driving long-term product innovation.
  • Advocate for responsible and ethical AI practices throughout the development lifecycle.
  • Mentor team members and contribute to hiring efforts to elevate overall team capability.

What we're looking for

  • Bachelor's degree in a relevant field with 6+ years or Master's degree with 4+ years of related experience in statistics, predictive analytics, research.
  • Doctorate in a relevant field with 3+ years or equivalent experience in statistics, predictive analytics, research.
  • At least 5 years of people management experience.
  • Proven ability to lead the design and deployment of machine learning solutions at scale.
  • Strong track record of bridging research and engineering to bring cutting-edge technologies into production.
  • Experience in shaping technical strategy and influencing decisions for product innovation.

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