
Real Estate • eCommerce • B2C
Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
5001 - 10000 employees
Founded 2006
🏠 Real Estate
🛍️ eCommerce
👥 B2C
💰 $4.1M Post-IPO Equity on 2012-12
October 18
🏄 California – Remote
🦌 Connecticut – Remote
+5 more states
💵 $178.3k - $284.7k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor

Real Estate • eCommerce • B2C
Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.
5001 - 10000 employees
Founded 2006
🏠 Real Estate
🛍️ eCommerce
👥 B2C
💰 $4.1M Post-IPO Equity on 2012-12
• Work with cross-functional stakeholders to answer questions related to model-driven listing performance • Design and implement innovative measurement and communication techniques and tools that provide insight into our marketplace value-delivery mechanisms • Partner with Machine Learning Engineers to develop and refine marketplace management, valuation, and recommendation models • Lead discussions with business partners and leaders to create clarity, evaluate trade-offs, and drive decision making • Ensure data excellence of Machine Learning experimentation data pipelines and A/B testing framework integrations • Provide predictive insights into anticipated marketplace responses to changes in inventory prioritization methods
• A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) • 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving • Experience modeling 2-sided marketplace dynamics (inventory optimization, advertising management, supply/demand prediction, etc.) • Strong understanding of statistical concepts, measurement methods, A/B testing, and causal inference techniques • Experience designing and analyzing tests in online marketplace settings • Mastery of SQL and Python, with experience with Tableau, Databricks, or other visualization software
• competitive base salary • equity awards based on experience, performance and location
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