Senior Data Scientist

About The Team

Zillow Group’s Business Data organization is dedicated to integrating an improved set of B2B agent software and advertising products for customers, partners, their clients, and the real estate industry as a whole. Zillow has built and acquired a portfolio of market-leading products for agent productivity, listing media, showing coordination, transaction management, and analytics solutions. Our wide array of products and services are built on technological innovations crafted to bring efficiencies to all users.

About The Role

The Business Data Science team within Zillow is hiring a Senior Data Scientist to lead analytics to uncover insights to drive both better business decisions and customer experiences across our product portfolio.

You Will Get To:

• Collaborate with team members across product, engineering, marketing, sales, operations, and more to develop evidence-based approaches to finding gaps and optimizing the customer experience.
• Use advanced analytics, including clustering, propensity modeling, statistical knowledge, and other explanatory and causal inference techniques to gain a clearer picture of customer behavior.
• Build compelling data stories and visualizations to inform and influence decision-makers.
• Serve as a mentor and resource to other data scientists on the team.
• Design and implement A/B tests, perform regression modeling, and provide recommendations for the product roadmap.

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.

Who you are

You are ready to bring your data and analytics expertise to transform what it means for the real estate industry to unlock the ability for consumers to dream, search, and find a home. You have an appreciation of the unique challenges posed by business-to-business product development and go-to-market.

Additionally, we expect you to have:

• An undergraduate or Master’s degree in a quantitative field (e.g., mathematics, engineering, statistics, finance, or similar).
• 5+ years of work experience involving quantitative data analysis and complex problem-solving. Experience working with product teams strongly preferred.
• A strong understanding of statistical concepts, measurement issues, and inference techniques.
• Proficiency in SQL, Excel, and either Python or R, along with some experience with Tableau, Mode, or other visualization software.
• Extensive experience querying multi-terabyte-sized noisy data sets such as clickstream data.
• Experience with ETL pipelines, scheduling, and productionalizing is a plus.
• Experience with A/B Testing, Experimentation, or Causal Inference.
• Strong written, verbal, and visual communication skills with the ability to work cross-functionally.

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 greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025, and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Key skills/competency

• Advanced Analytics
• Statistical Modeling
• A/B Testing
• Causal Inference
• SQL
• Python/R
• Data Visualization
• Customer Experience Optimization
• Product Roadmap Influence
• Big Data Querying