Note: The job is a remote job and is open to candidates in USA. Zillow is a real estate technology company that helps customers navigate buying, selling, financing, and renting. The Senior Data Scientist will lead analytics for broker data products, measurement strategy, and enterprise ROI by designing success metrics, causal inference frameworks, scalable analytical foundations, and data-driven recommendations for product and go-to-market decisions.
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
- 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
- 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
- Experience building reliable, scalable analytical pipelines and scheduled data jobs, or contributing to data and analytics platform development, is a plus
- Data visualization experience (e.g., Tableau)
Benefits
- This role has been categorized as a Remote position.
- In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location.
Company Overview
Company H1B Sponsorship