Sr. Data Scientist

About the team The Marketing Analytics & Data Science team sits at the center of Zillow’s growth strategy. We partner across Marketing, Product, Finance, and Engineering to ensure every dollar invested in growth is measured rigorously and deployed efficiently. As a Senior Data Scientist, you will help evolve Zillow’s marketing measurement ecosystem - integrating experimentation, causal inference, marketing mix modeling (MMM), and predictive optimization into a cohesive, production-grade decision system. We build scalable models and experimentation frameworks that directly inform: Budget allocation Channel and creative strategy Incrementality measurement Forecasting and growth planning Efficiency and ROI optimization Our work drives measurable impact across B2C and B2B businesses, including Rentals, Premier Agent, Zillow Home Loans, and more. About the role As a Senior Data Scientist, you will operate as a technical leader and end-to-end owner of complex marketing measurement problems. You will combine rigorous statistical thinking with scalable engineering practices to deliver durable measurement systems - not just one-off analyses. You will help Zillow advance toward a modern marketing science framework where: Experimentation and observational modeling complement each other MMM, geo-experiments, and digital incrementality align Models are reproducible, monitored, and decision-ready Insights translate directly into business action 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. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location. Who you are You are a senior-level individual contributor who combines: Strong causal inference and statistical rigor Production-oriented data science practices Business intuition around marketing investment efficiency Clear communication and executive storytelling You think in systems, not just models. You understand that marketing science requires harmonizing experimentation, observational methods, forecasting, and optimization — and you can operate comfortably across all. Basic Qualifications: MS with 5 + years of industry experience in data science, applied science, or marketing analytics; OR 5+ years of experience in marketing analytics, measurement, or growth data science. Strong expertise in causal inference and statistical modeling. Advanced proficiency in SQL and Python or R. Experience building analyses or models that are repeatedly used for business decisions. Experience working with large-scale, noisy datasets (e.g., clickstream, media data, multi-terabyte sources). Strong cross-functional communication skills. Nice to have qualifications: Hands-on experience with Marketing Mix Modeling (MMM). Deep experience designing and analyzing A/B tests and geo-experiments. Expertise in incrementality and uplift modeling. Experience building scalable experimentation or modeling platforms. Strong understanding of attribution methodologies and trade-offs. Practical MLOps experience: Model versioning Monitoring and observability Reproducibility standards Shared codebase collaboration Experience with tools such as Databricks, Snowflake, Airflow, dbt, Tableau, Looker, or similar. Understanding of privacy shifts (cookie deprecation, signal loss) and their impact on marketing measurement. Experience supporting both B2C and B2B marketing strategies. Experience mentoring or coaching other data scientists. Get to know us At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with ... (truncated, view full listing at source)