Senior Data Scientist
About The Position
The Business Data team is hiring a Senior Data Scientist to serve as a core analytics lead for Zillow's broker data products, measurement strategy, and enterprise ROI, turning on the lights to the depth and value of broker relationships across the Zillow Group ecosystem. You will lead the design of broker-level success metrics and the causal inference frameworks that measure product, go-to-market, and business impact at the enterprise level, and build the trusted, scalable analytical foundations that turn complex data into insights decision-makers act on. The data products you build won't just inform internal decisions; they will help Zillow deliver more value to broker partners and their customers. This is a newly formed pod with significant company investment and executive visibility: few roles offer this much influence over how a strategic priority is measured, understood, and grown. This work is highly visible to senior leadership, and your insights will directly shape how Zillow invests in one of its biggest strategic areas. For a data scientist ready to grow, this is a rare opportunity to build a high-visibility charter from the ground up, with a clear runway to expand your scope, influence senior leaders, and sharpen your craft alongside a broad data organization working across AI-enabled analytics, data products, and measurement. You will see your work show up quickly in decisions, product direction, and the value Zillow delivers to its partners.
Requirements
- 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
- 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
- Ability to work independently in ambiguous spaces as a self-starting, end-to-end owner
Nice To Haves
- a Master's degree (or equivalent experience) in statistics or a similar quantitative discipline is preferred
- B2B product and business strategy experience are a plus
- 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
- data visualization experience (e.g., Tableau) is preferred but not required
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
Benefits
- equity awards based on factors such as experience, performance and location
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
