Staff Product Data Scientist, Paid Media

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 8 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)