Principal Data Scientist – Rentals Shopping

🕒 February 12

🏄 California, Connecticut, +5 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $178.3k - $284.7k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Zillow

WebsiteLinkedInAll Job Openings

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

• Drive the long‑term data strategy for the Rentals Shopping pillar • Elevate statistical rigor, modeling, and experimentation practices across Rentals • Partner with product, engineering, and design leaders to translate complex analysis into clear, actionable product and business strategies • Lead analytical and modeling work across critical problem spaces such as rental search relevance, ranking, personalization, or marketplace efficiency • Design and guide robust A/B tests and other experimentation frameworks • Apply modern AI to increase data science velocity and improve model quality • Coach and mentor data scientists

🎯 Requirements

• Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science), or equivalent practical experience • Substantial experience (typically 8+ years) in quantitative analysis, advanced modeling, and experimentation at scale in consumer‑facing technology environments • Expert in SQL and Python • Experience applying statistical modeling (e.g., causal inference, time series) in big data environments such as Databricks or Snowflake. • Proven track record of shaping long‑term product roadmaps and driving meaningful business outcomes through data‑driven insights • Ability to influence senior cross‑functional leaders and turn complex analysis into clear, executive‑ready recommendations and action plans • High initiative and ownership: Comfortable leading in a complex business area with significant autonomy, setting direction and driving execution across partners.

🏖️ Benefits

• Competitive base salary • Equity awards based on experience, performance and location