Manager, Ads and Marketing Data Science

Zillow is seeking a Manager, Data Science to lead a high-impact team within Marketing Analytics & Data Science. This role involves shaping measurement strategy for Zillow’s Elevate on-site ads business while connecting that work to broader brand and performance marketing measurement.

Responsibilities:

• Lead measurement strategy for Zillow’s Elevate on-site ads business, including KPIs, advertiser value, pricing and placement insights, and revenue impact
• Build and scale incrementality, lift testing, and experimentation frameworks across advertiser segments, markets, and product surfaces
• Connect Elevate measurement to Zillow’s broader marketing science ecosystem, including MMM, attribution, forecasting, and budget allocation decisions
• Manage, coach, and grow a high-performing team of data scientists through clear expectations, feedback, hiring, and career development
• Set technical direction for scalable, production-ready analytics and modeling systems in partnership with Data Engineering
• Influence leaders across Product, Commercial, and Marketing by translating technical findings into clear business recommendations
• Lead through ambiguity by balancing rigor and speed, including contributing hands-on to high-leverage problems when needed
• Drive thoughtful adoption of AI-enabled tools in ways that improve productivity while maintaining quality, governance, and data integrity

Requirements:

• 8+ years of experience in data science, applied science, marketing analytics, or advertising analytics
• 2+ years of experience managing and developing data scientists
• Experience in an on-site advertising or digital ads environment, with ownership of measurement, experimentation, or monetization analytics
• Strong knowledge of incrementality, lift testing, advertiser reporting, and performance optimization
• Experience working with large-scale behavioral, clickstream, or marketplace datasets
• Proficient in SQL and either Python or R
• Experience partnering with Product, Commercial, and Marketing stakeholders
• Ability to communicate effectively with senior leaders
• Experience connecting MMM, experimentation, attribution, or forecasting into a cohesive measurement approach
• Experience with advertising platform growth, pricing or forecasting analytics, legacy measurement modernization, privacy-related measurement changes
• Familiarity with tools such as Databricks, Snowflake, Airflow, or dbt