Manager, Ads and Marketing Data Science

About the team

Marketing Analytics & Data Science helps Zillow make better decisions through data-driven insights, experimentation, and scalable measurement solutions. This team partners closely with Marketing, Product, and Engineering to improve budget allocation, measure business impact, and support growth across Zillow’s marketplace, including the Elevate ads business.

About the role

Zillow is seeking a Manager, Data Science to lead a high-impact team within Marketing Analytics & Data Science. In this role, you will shape measurement strategy for Zillow’s Elevate on-site ads business while helping connect that work to broader brand and performance marketing measurement. This is a people-first leadership role with strong technical depth, offering the opportunity to grow a talented team, influence senior stakeholders, and drive meaningful business impact through marketing science, experimentation, and scalable analytics.

You Will Get To

• 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.

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $160,500.00 - $256,500.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Minnesota, Nevada, Ohio, Rhode Island, and Vermont the standard base pay range for this role is $152,500.00 - $243,700.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.

Who you are

Who You Are

• You have 8+ years of experience in data science, applied science, marketing analytics, or advertising analytics.

• You have 2+ years of experience managing and developing data scientists.

• You bring experience in an on-site advertising or digital ads environment, with ownership of measurement, experimentation, or monetization analytics.

• You have strong knowledge of incrementality, lift testing, advertiser reporting, and performance optimization.

• You have experience working with large-scale behavioral, clickstream, or marketplace datasets.

• You are proficient in SQL and either Python or R.

• You have experience partnering with Product, Commercial, and Marketing stakeholders, and you can communicate effectively with senior leaders.

• You have 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, or tools such as Databricks, Snowflake, Airflow, or dbt is a plus.

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