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Zillow

Manager, Data Science

Zillow

Manager of Data Science at Zillow overseeing consumer analytics and experimentation. Leading a high-performing team to optimize the rental shopping experience.

Posted 5/28/2026full-timeRemote • California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Virginia, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $160,500 - $256,500 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Setting the technical direction and measurement strategy for the shopping funnel
  • Developing and mentoring data scientists across experimentation, causal inference, and product analytics
  • Defining scalable frameworks for A/B testing, funnel optimization, and consumer behavior modeling
  • Influencing senior product and business stakeholders with data-driven recommendations
  • Ensuring analytical rigor translates into tangible product improvements and business growth
  • Driving deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify high-impact growth opportunities
  • Managing and developing a team of data scientists working across shopping funnel measurement and consumer analytics
  • Raising the bar on production-grade analytics and experimentation
  • Operating as a strategic thought partner to senior stakeholders across Product, Engineering, and Business Strategy
  • Leading thoughtful adoption of AI within your team.

Requirements

What you’ll need
  • 6+ years of experience in data science, applied science, product analytics, or consumer analytics
  • 2+ years of experience mentoring or directly leading data scientists
  • Direct experience working in a consumer-facing product environment, with ownership of experimentation, funnel measurement, or product analytics at scale
  • Strong understanding of A/B testing, causal inference, funnel optimization, and consumer behavior modeling
  • Experience working with large-scale behavioral, clickstream, or marketplace datasets
  • Deep proficiency in SQL and Python
  • Experience partnering cross-functionally with Product, Engineering, and Design stakeholders
  • Strong executive communication skills with the ability to influence senior leadership decisions
  • Experience integrating experimentation, observational causal methods, and predictive modeling into coherent measurement frameworks
  • Demonstrated ability to adopt AI-enabled tools thoughtfully while maintaining rigor and governance.

Benefits

Comp & perks
  • equity awards based on factors such as experience, performance, and location

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data scienceproduct analyticsconsumer analyticsA/B testingcausal inferencefunnel optimizationconsumer behavior modelingSQLPythonpredictive modeling
Soft Skills
mentoringinfluencingexecutive communicationstrategic thought partnershipanalytical rigorteam managementcross-functional collaborationleadershipdata-driven recommendationsadoption of AI