Principal Data Science Manager (AI)

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.