| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type: Hybrid
Location: Redmond, WA
Salary: $102,100–$202,200 / yr
Posted: 10 days ago
Closes: Nov 22, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $152k

$86k most similar roles pay here $251k

This role pays less than 74% of similar roles. Most pay $152,150–$208,800 — the shaded band above. At the midpoint, this role pays about $152k 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 728 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 664 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

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Join our dynamic team as a Data & Applied Scientist II, where you will play a crucial hands-on role in shaping product and business decisions through rigorous experimentation and data-driven insights. You will design and analyze A/B tests from hypothesis formulation to final decision-making, ensuring clear communication of results with an emphasis on practical application rather than mere reporting. Utilizing AI tools to enhance analysis and insight generation while maintaining statistical rigor, you will collaborate closely with cross-functional teams to influence product direction based on data-driven evidence. This role requires a strong background in applied statistics, proficiency in SQL and Python or R, and the ability to work with imperfect real-world data. Ideal candidates have experience in experimentation design, AI-assisted analytics, and effective communication of complex analytical concepts to non-technical stakeholders.

Skills

Python R SQL A/B Testing Hypothesis Testing Bayesian Frequentist Causal Inference Monte Carlo Simulations Experimentation Analysis Workflows Dashboards AI-Assisted Tools Communication Skills Collaboration Skills

What you'll do

Design, analyze, and interpret A/B experiments from hypothesis to final decision.
Choose appropriate metrics and success criteria based on user behavior and business context.
Identify and diagnose common experimentation issues like bias and interference.
Combine experimental evidence with observational analysis for informed decisions.
Use AI tools to accelerate analysis and generate insights in everyday work.

What we're looking for

Doctorate in a relevant field or equivalent experience and education.
Experience designing, analyzing, and interpreting A/B experiments end-to-end.
Solid foundation in applied statistics including hypothesis testing and causal reasoning.
Proficiency in SQL and at least one analytical programming language like Python or R.
Ability to communicate complex experimental results clearly to non-technical stakeholders.
Curiosity about integrating AI into everyday analytical workflows while maintaining rigor.

| Microsoft Careers

Microsoft

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