[Remote] Manager, Data Science

Note: The job is a remote job and is open to candidates in USA. Zillow is a leading real estate platform in the U.S., and they are seeking a Manager of Data Science to lead their Rentals Analytics team. This role involves setting the technical direction for measurement and experimentation to drive product decisions and enhance the rental shopping experience.

Responsibilities

• 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
• Establish the long-term measurement strategy for the shopping funnel: search, discovery, listing engagement, applications, and lease conversion
• Define experimentation frameworks that scale across markets, product surfaces, and renter segments
• Design incrementality and lift testing standards to quantify the impact of product changes on renter outcomes
• Partner with Product leadership to define KPIs that balance renter experience quality with business growth
• Ensure measurement systems are credible, scalable, and integrated into the product development lifecycle
• Drive deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify high-impact growth opportunities
• Oversee integration of experimentation, causal inference, and predictive modeling into a coherent insights framework
• Partner with Product, Engineering, and Design leaders to translate complex analytical findings into actionable product strategies
• Connect consumer behavior insights to business outcomes such as lead quality, conversion rates, and revenue growth
• Set clear expectations for scope, quality, and business impact
• Coach team members in technical rigor, structured thinking, and executive communication
• Conduct high-quality performance reviews and career development planning
• Create an inclusive, high-accountability team culture
• Drive hiring strategy to build depth in experimentation, product analytics, and consumer modeling
• Player–Coach Expectation: You are expected to contribute technically to ambiguous or high-leverage problems, and consistently demonstrate execution by delivering hands-on work and leading by example
• Ensure experimentation frameworks are reusable and scalable across shopping product surfaces and renter segments
• Guide development of production-ready modeling pipelines (versioning, monitoring, governance)
• Reduce technical debt in legacy measurement and analytics workflows
• Partner with Data Engineering to improve data reliability and infrastructure for shopping funnel data
• Balance rigor with speed—choosing appropriate methodological complexity based on decision stakes
• Communicate insights clearly to VP and executive audiences
• Translate technical findings into product strategy and investment implications
• Influence roadmap decisions across the shopping pillar and adjacent product areas
• Prioritize team work based on enterprise-level impact
• Connect renter behavior insights with marketplace dynamics and business outcomes
• Encourage responsible use of AI-assisted coding and analytics tools to improve productivity
• Establish guardrails to protect rigor, data integrity, and governance
• Identify workflows where automation meaningfully improves experimentation velocity and insight generation
• Evaluate emerging tooling that strengthens scalability without compromising quality

Skills

• 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
• Experience in rental, real estate, or marketplace platforms
• Experience scaling experimentation programs across multiple product surfaces
• Exposure to recommendation systems, search ranking, or personalization analytics
• Familiarity with Databricks, Snowflake, Airflow, dbt, or similar infrastructure tools
• Understanding of privacy shifts and their impact on consumer analytics and measurement

Benefits

• In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
• Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

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