Principal Applied Scientist, Experimentation Platform

Microsoft

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: —
Salary: $142,800–$274,800 / yr
Posted: 74 days ago
Freshness: Confirmed live yesterday
Closes: Dec 26, 2026

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Competitive pay

How this pay compares to similar roles

Similar $216k

This role $209k

$127k most similar roles pay here $291k

This role pays less than 57% of similar roles. Most pay $177,250–$254,750 — the shaded band above. At the midpoint, this role pays about $209k versus about $216k 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 586 roles with salary data.

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At a glance

TL;DR · Principal Applied Scientist, Experimentation Platform

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As a Principal Applied Scientist on the Experimentation Platform team within CoreAI, you will shape the technical direction of high-scale systems designed for trustworthy online experimentation. You will bridge the gap between research and production by translating advanced science into quality features while providing technical guidance on AI tools and methodologies to ensure scientific rigor. Your daily work involves collaborating with engineers, data scientists, and designers to build seamless user experiences, actionable dashboards, and robust measurement frameworks. You will focus on advancing agent evaluations and online experimentation methods to solve complex problems in the AI ecosystem. Key competencies include expertise in statistics, predictive analytics, causal inference, and agent-based architectures like MCP or Azure AI Foundry. You will also mentor team members while managing product measurement strategies to interpret noisy data at scale for high-velocity testing.

What does a Applied Scientist earn?

Median $208800 from 47 postings across 10 companies.

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Skills

Multivariate Testing Causal Inference Azure AI Foundry MCP A2A Protocol Predictive Analytics Statistics Econometrics Product Measurement Agent based architectures

What you'll do

Advance state-of-the-art online experimentation methodologies and agent evaluations for AI applications.
Translate applied research from academic and open-source communities into production-quality features.
Provide technical guidance on the adoption of cutting-edge AI tools and scientific rigor.
Translate requirements from internal partners into scalable platform capabilities to lower barriers for users.
Design and scale high-scale experimentation platforms supporting A/B and multivariate testing.
Define north-star metrics and architect measurement frameworks to interpret complex data at scale.
Mentor and coach team members to build internal capabilities and guide their career growth.

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.
Ability to pass Microsoft Cloud background checks and other required security screenings.
Experience with agent-based architectures, frameworks, and technologies like MCP, A2A protocol, or Azure AI Foundry.
At least 3 years of experience developing and deploying products from ideation to shipping as part of a product team.
Proven track record designing and scaling online experimentation platforms for high-velocity A/B and multivariate testing.
Demonstrated thought leadership in product measurement strategy and defining north-star metrics at scale.
At least 5 years of experience creating publications such as patents, libraries, or peer-reviewed academic papers.

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