Principal Data Scientist – Rentals Shopping

🕒 August 6

🏄 California, Colorado, +15 more states – Remote

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💵 $178.3k - $284.7k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

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👻 Ghost score 18%

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Logo of Zillow

Zillow

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

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.

📋 Description

• Serve as the data science lead for Zillow’s Rentals Shopping pillar • Drive the long-term data strategy using analysis of consumer behavior and market dynamics • Identify high-impact growth opportunities and inform the product roadmap • Elevate statistical rigor, modeling, and experimentation practices across Rentals • Partner with product, engineering, and design leaders to translate analysis into product and business strategies • Lead analytical and modeling work involving rental search relevance, ranking, personalization, and marketplace efficiency • Design and guide A/B tests and experimentation frameworks • Apply modern AI, including LLMs and agentic workflows, to improve data science velocity, model quality, and user-facing solutions • Coach and mentor data scientists • Influence how renters search, evaluate, and connect with rental homes and support growth of Zillow’s Rentals business

🎯 Requirements

• Ph.D. or Master’s degree in a quantitative field, or equivalent practical experience • Typically 8+ years of experience in quantitative analysis, advanced modeling, and experimentation at scale in consumer-facing technology environments • Expert proficiency in SQL and Python • Experience with statistical modeling, including causal inference and time series • Experience working in big data environments such as Databricks or Snowflake • Proven track record of shaping long-term product roadmaps and driving business outcomes through data-driven insights • Ability to influence senior cross-functional leaders and produce executive-ready recommendations and action plans • Ability to lead with significant autonomy and drive execution across partners

🏖️ Benefits

• Equity awards • Flexible distributed work model (Cloud HQ) • Work from a physical location of choice • Inclusive, innovative, and engaging culture • Employee growth opportunities • Disability accommodation support

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