[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.ResponsibilitiesSetting the technical direction and measurement strategy for the shopping funnelDeveloping and mentoring data scientists across experimentation, causal inference, and product analyticsDefining scalable frameworks for A/B testing, funnel optimization, and consumer behavior modelingInfluencing senior product and business stakeholders with data-driven recommendationsEnsuring analytical rigor translates into tangible product improvements and business growthEstablish the long-term measurement strategy for the shopping funnel: search, discovery, listing engagement, applications, and lease conversionDefine experimentation frameworks that scale across markets, product surfaces, and renter segmentsDesign incrementality and lift testing standards to quantify the impact of product changes on renter outcomesPartner with Product leadership to define KPIs that balance renter experience quality with business growthEnsure measurement systems are credible, scalable, and integrated into the product development lifecycleDrive deep-dive analyses of renter behavior, market dynamics, and funnel performance to identify high-impact growth opportunitiesOversee integration of experimentation, causal inference, and predictive modeling into a coherent insights frameworkPartner with Product, Engineering, and Design leaders to translate complex analytical findings into actionable product strategiesConnect consumer behavior insights to business outcomes such as lead quality, conversion rates, and revenue growthSet clear expectations for scope, quality, and business impactCoach team members in technical rigor, structured thinking, and executive communicationConduct high-quality performance reviews and career development planningCreate an inclusive, high-accountability team cultureDrive hiring strategy to build depth in experimentation, product analytics, and consumer modelingPlayer–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 exampleEnsure experimentation frameworks are reusable and scalable across shopping product surfaces and renter segmentsGuide development of production-ready modeling pipelines (versioning, monitoring, governance)Reduce technical debt in legacy measurement and analytics workflowsPartner with Data Engineering to improve data reliability and infrastructure for shopping funnel dataBalance rigor with speed—choosing appropriate methodological complexity based on decision stakesCommunicate insights clearly to VP and executive audiencesTranslate technical findings into product strategy and investment implicationsInfluence roadmap decisions across the shopping pillar and adjacent product areasPrioritize team work based on enterprise-level impactConnect renter behavior insights with marketplace dynamics and business outcomesEncourage responsible use of AI-assisted coding and analytics tools to improve productivityEstablish guardrails to protect rigor, data integrity, and governanceIdentify workflows where automation meaningfully improves experimentation velocity and insight generationEvaluate emerging tooling that strengthens scalability without compromising qualitySkills6+ years of experience in data science, applied science, product analytics, or consumer analytics. 2+ years of experience mentoring or directly leading data scientistsDirect experience working in a consumer-facing product environment, with ownership of experimentation, funnel measurement, or product analytics at scaleStrong understanding of A/B testing, causal inference, funnel optimization, and consumer behavior modelingExperience working with large-scale behavioral, clickstream, or marketplace datasetsDeep proficiency in SQL and PythonExperience partnering cross-functionally with Product, Engineering, and Design stakeholdersStrong executive communication skills with the ability to influence senior leadership decisionsExperience integrating experimentation, observational causal methods, and predictive modeling into coherent measurement frameworksDemonstrated ability to adopt AI-enabled tools thoughtfully while maintaining rigor and governanceExperience in rental, real estate, or marketplace platformsExperience scaling experimentation programs across multiple product surfacesExposure to recommendation systems, search ranking, or personalization analyticsFamiliarity with Databricks, Snowflake, Airflow, dbt, or similar infrastructure toolsUnderstanding of privacy shifts and their impact on consumer analytics and measurementBenefitsIn 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.Company OverviewZillow is an online real estate marketplace for finding and sharing information about homes, real estate, and mortgages. It is a sub-organization of Zillow Group. It was founded in 2005, and is headquartered in Seattle, Washington, USA, with a workforce of 5001-10000 employees. Its website is http://www.zillow.com.Company H1B SponsorshipZillow has a track record of offering H1B sponsorships, with 12 in 2026, 179 in 2025, 150 in 2024, 171 in 2023, 256 in 2022, 239 in 2021, 195 in 2020. Please note that this does not guarantee sponsorship for this specific role.