Note: The job is a remote job and is open to candidates in USA. Zillow Group is a real estate technology company developing products and services for the residential real estate market. The Senior Data Scientist will lead analytics for broker data products, measurement strategy, and enterprise ROI, designing success metrics and causal inference frameworks. The role will also build scalable analytical foundations, partner with product and go-to-market teams, and provide data-driven recommendations to senior leadership.
Responsibilities
- Serve as the high-context analytics owner for broker data products and go-to-market, establishing durable methodology and metric standards
- Independently scope and deliver end-to-end measurement and data science projects, from problem framing through methodology design, validation, and productionization
- Lead the design of broker-level success metrics and causal inference frameworks (e.g., matching, difference-in-differences) that quantify the impact of products, features, and go-to-market initiatives at the enterprise level
- Partner with Product Managers and go-to-market teams to design, deploy, and execute measurement roadmaps, guiding data product development from problem definition through measurement and iteration
- Conduct analytical deep dives and opportunity sizing to inform product and go-to-market roadmaps; Provide data-driven recommendations to senior leadership, clearly communicating trade-offs, assumptions, and impact
- Build reliable, scalable analytical pipelines, scheduled jobs, and reusable data products that scale insights and demonstrate product value to partners and customers; Leverage AI-assisted analytics workflows to scale your impact, while designing core analytical logic in deterministic, verifiable ways
- Support externally facing product value narratives with rigorous, defensible methodology
Skills
- 5+ years of experience in data science, product analytics, or a related quantitative field; a Master's degree (or equivalent experience) in statistics or a similar quantitative discipline is preferred
- Strong foundation in statistics, causal inference, and experimentation (A/B testing), with high analytical rigor and demonstrated ability to design clear, durable metrics and assess product or go-to-market impact from definition through decision-making
- Strong stakeholder management skills, including experience partnering with Product Managers, engineers, and go-to-market teams, influencing decisions, and communicating complex findings to technical and non-technical audiences; B2B product and business strategy experience are a plus
- Strong SQL and Python skills, including the ability to develop and maintain complex query logic; comfortable working with large datasets in modern data platforms (e.g., Spark, Databricks)
- Effective at leveraging AI tools in day-to-day analytical work while maintaining high rigor
- Experience with product analytics at a senior level, including measurement, experimentation, clickstream and segment analysis, and influencing decisions with data; experience building end-to-end predictive ML models is a strong plus
- Experience building reliable, scalable analytical pipelines and scheduled data jobs, or contributing to data and analytics platform development, is a plus
- Ability to work independently in ambiguous spaces as a self-starting, end-to-end owner; data visualization experience (e.g., Tableau) is preferred but not required
- A Master's degree (or equivalent experience) in statistics or a similar quantitative discipline
- B2B product and business strategy experience
- Experience building end-to-end predictive ML models
- Experience building reliable, scalable analytical pipelines and scheduled data jobs, or contributing to data and analytics platform development
- Data visualization experience (e.g., Tableau)
Benefits
- This role has been categorized as a Remote position. Remote employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
- This position is also eligible for equity awards based on factors such as experience, performance and location.
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