TL;DR

Principal Data Science Manager (AI): Leading a team of data scientists to drive engagement improvements for personalized web experiences, leveraging insights from big data and enhancing recommendation systems. Focus on designing A/B tests, building robust metrics systems, and conducting business modeling to identify growth opportunities and ensure product relevance.

Location: Mountain View, United States. Employees within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week starting January 26, 2026.

Salary: USD $139,900 – $274,800 per year (or USD $188,000 – $304,200 per year for San Francisco Bay area and New York City metropolitan area).

Company

%hirify_global% (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing.

What you will do

Lead a team of data scientists and empower them to do their best work.
Collaborate with cross-functional teams to understand features, estimate impacts, and drive engagement improvements based on insights.
Enhance products by evaluating performance metrics and user feedback.
Analyze large datasets to identify patterns, trends, and content performance to improve recommendation systems.
Build metrics systems to measure business health and quickly identify root causes.
Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements.
Effectively communicate findings, insights, and recommendations to stakeholders.

Requirements

Master’s Degree in a related field and 7+ years of data-science experience (or Doctorate with 5+ years, or Bachelor's with 10+ years).
3+ years of people-management experience.
Ability to meet Microsoft, customer, and/or government security screening requirements.

Nice to have

5+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
Previous product analytics, web analytics, and/or content analytics experience.
Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).
Knowledge of Content ecosystem, Ads, and online shopping metrics.

Culture & Benefits

Work in a culture of inclusion, respect, integrity, and accountability.
Innovate to empower others and collaborate to realize shared goals.
Opportunity to work with engaged stakeholders who value your skills.