About the role
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
In this hybrid role, you will report to the Product Data Science Lead, Growth and Experience.
You will:
- Connect marketing performance to real business outcomes by building ROI methodologies and efficiency guardrails that leadership can act on
- Own optimization across the full acquisition picture — brand media, performance channels, promotions, and referrals — not just the parts with clean attribution
- Design and run Waymo's incrementality measurement program, including geo-based holdout tests, switchback experiments, and media mix modeling across every acquisition channel
- Build Waymo's LTV and CAC framework and use it to guide how marketing spend gets allocated
- Be the data science partner marketing and product leans on for measurement and experimentation