Principal Data Scientist

🕒 April 24

🏄 California, Colorado, +13 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ❄️ Minnesota – Remote ⚓ Rhode Island – Remote 🍁 Vermont – 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

• Define and evolve the measurement strategy for Zillow’s Elevate on-site advertising platform, including ad placements, pricing models, inventory optimization, and advertiser value. • Lead incrementality, lift testing, and experimentation frameworks that support advertiser reporting and internal decision-making. • Build KPI frameworks that connect ad performance to advertiser outcomes, product decisions, and revenue growth. • Partner with Ad Product, Ad Tech, Sales, Commercial, and Data Engineering teams to ensure measurement solutions support both monetization and advertiser trust. • Translate ad performance and marketplace data into actionable insights that shape product roadmaps and go-to-market strategy. • Collaborate with third-party measurement vendors, platform providers, and data partners to strengthen Zillow’s advertising measurement capabilities. • Drive cross-functional alignment on experimentation design, measurement standards, and scalable analytical best practices across the ads ecosystem. • Mentor data scientists, improve analytical systems and data reliability, and identify responsible AI-enabled workflows that increase efficiency while maintaining rigor and governance.

🎯 Requirements

• 8+ years of experience in data science, marketing science, advertising analytics, or applied measurement. • Deep expertise in on-site advertising measurement, including lift testing, incrementality, A/B experimentation, advertiser reporting, and performance optimization. • Strong knowledge of measurement approaches such as causal inference, marketing attribution methods, and marketing mix modeling. • Experience working in or closely with ads platforms, retail media networks, sponsored listings, or similar on-site advertising environments. • Proven ability to influence senior stakeholders and drive cross-functional alignment without formal management authority. • Strong analytical and technical skills, including experience with large-scale behavioral, clickstream, or marketplace datasets and proficiency in SQL plus Python or R. • Excellent communication skills, with the ability to translate complex methodologies into clear business recommendations for technical and non-technical audiences. • Experience partnering with Product, Engineering, Commercial, Sales, and external stakeholders; familiarity with third-party measurement partners or modern data tools is a plus. • A proactive, strategic mindset and the ability to connect technical rigor to advertiser value, revenue outcomes, and product direction.

🏖️ Benefits

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