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 Lead deep-dive analyses across geos, audiences, creatives, and channels to find the non-obvious growth levers nobody's looked for yet You have: At least 6 years of industry experience, with a strong focus on growth marketing, including time spent owning measurement strategy, not just executing it A track record of working directly with marketing leadership as a trusted partner Proficiency in SQL and Python or R for data manipulation, statistical modeling, and experiment analysis Hands-on experience designing and analyzing incrementality experiments — geo holdout tests, switchback designs, or intent-to-treat analyses — in a consumer tech, marketplace, or rideshare context Strong causal inference fundamentals — you know how to design studies that produce actionable, credible results We prefer: Time at a high-growth consumer tech, rideshare, or mobility company Experience with media mix modeling (MMM) or multi-touch attribution (MTA) in addition to geo-based incrementality testing Experience building LTV and CAC frameworks and using them to guide real spend decisions Experience with mobile measurement partners (MMP) Familiarity with paid media platforms and channel dynamics (SEM, paid social, programmatic) The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for