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Manager 3, People Analytics (Research & Data Science) at Intuit · Mountain View, CA · Joined
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Manager 3, People Analytics (Research & Data Science)

Intuit · Mountain View, CA · Just now · 0 applicants
NewOn-siteFull-timeManager
Pay
$234k–$316kListed
Workplace
On-site
Job type
Full-time
Level
Manager
Team: People Analytics Data Science & Research · Source: jobright · Posted by joined-scrapper

About the role

Intuit is seeking an experienced People Analytics Data Science leader to manage its research and data science team, focusing on workforce forecasting, employee research, and AI-native analytics. The role requires deep technical expertise and team management skills to drive data-driven decisions and influence senior leadership.

What you’ll do

  • Manage the People Analytics Data Science & Research team
  • Set analytical direction across workforce forecasting, employee research, talent analytics, and AI-native tools
  • Review model design and methodological rigor
  • Lead a distributed team and influence senior stakeholders through data-driven recommendations
  • Build feedback loops into analytics work to track impact

What you’ll need

  • 10+ years in people analytics with deep data science and applied research experience
  • Depth in predictive/prescriptive modeling, experimentation, and causal inference
  • Fluency in SQL, Python or R, with comfort in modern cloud data environments and workflow management
  • Experience across workforce domains such as headcount forecasting, attrition modeling, hiring funnel, compensation, or organizational effectiveness
  • Experience building or measuring AI-native analytics products
  • 4+ years managing analytics or data science teams

Original job description

Intuit is seeking an experienced People Analytics Data Science leader to manage its People Analytics Data Science & Research team. The role sets analytical direction across workforce forecasting, employee research, talent and mobility analytics, and AI-native tools, while personally reviewing model design and methodological rigor. It also leads a…

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