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 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, and effective communication with senior leaders.
Experience connecting MMM, experimentation, attribution, or forecasting into a cohesive measurement approach.
Tech Stack
Python
SQL
Benefits
equity awards based on factors such as experience, performance and location