Principal Applied Scientist

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$142,800–$274,800 / yr
Posted
7 days ago
Freshness
Confirmed live today
Closes
Mar 24, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $230k
This role $209k
$127k most similar roles pay here $291k

This role pays less than 51% of similar roles. Most pay $205,000–$255,500 — the shaded band above. At the midpoint, this role pays about $209k versus about $230k 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 598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 571 roles with salary data.

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At a glance

TL;DR · Principal Applied Scientist

As a Principal Applied Scientist on the Online Forensics team, you will shape the scientific strategy for protecting monetization networks and LLM-native systems. You will identify emerging fraud tactics, adversary infrastructure, and evasion patterns through behavioral, graph-based, and temporal big data analysis. Your daily work involves forming threat hypotheses, designing safe adversarial simulations, and developing test harnesses to expose vulnerabilities before they are exploited at scale. You will establish authoritative ground truth by correlating evidence across accounts, traffic, and devices to reconstruct attack chains. To achieve this, you will utilize Python, Spark, and SQL while applying machine learning and statistical detection methods on large-scale telemetry. The role focuses on solving complex problems in monetization fraud, including invalid traffic, botnets, and synthetic identity abuse within high-risk advertising flows and multi-layered technical ecosystems.

What does a Applied Scientist earn?

Median $231000 from 40 postings across 11 companies.

See salary data

What you'll do

  • Identify emerging fraud tactics and adversary infrastructure across monetization flows and LLM-native systems using big data analysis.
  • Assess high-risk attack paths by forming threat hypotheses and validating risks through structured modeling and experimentation.
  • Design safe adversarial simulations to expose system blind spots and create corresponding test harnesses and regression scenarios.
  • Establish authoritative ground truth by correlating evidence across accounts, traffic, transactions, and infrastructure to reconstruct attack chains.
  • Develop shared investigation infrastructure, agent-assisted services, and reusable libraries for telemetry analysis and entity resolution.
  • Lead end-to-end reconstruction of material incidents and provide actionable findings to support remediation and enforcement teams.
  • Shape the scientific and technical strategy for monetization fraud intelligence and investigation capabilities across organizational boundaries.

What we're looking for

  • Bachelor's degree plus 6 years of experience, Master's plus 4 years, or Doctorate plus 3 years in a relevant technical field.
  • Equivalent experience to the specified educational and experience requirements.
  • Ability to pass the Microsoft Cloud background check every two years.
  • Experience identifying and investigating adversarial abuse at web scale through hypothesis-driven analysis of large-scale telemetry (preferred).
  • Ability to produce written technical assessments for engineering and executive audiences (preferred).
  • Experience developing machine learning or statistical detection methods using Python, Spark, or SQL (preferred).
  • Experience with advertising or monetization fraud ecosystems, including botnets and synthetic identity abuse (preferred).
  • Experience in red team, offensive security, or adversarial simulation (preferred).

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