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 the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Skills Required
- At least 6 years of industry experience with a strong focus on growth marketing and owning measurement strategy
- 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 holdouts, switchback designs, intent-to-treat analyses)
- Strong causal inference fundamentals for designing credible, actionable studies
- Experience with growth marketing in consumer tech, marketplace, or rideshare contexts
- Experience with media mix modeling (MMM) or multi-touch attribution (MTA)
- Experience building LTV and CAC frameworks and guiding spend decisions
- Experience with mobile measurement partners (MMP)
- Familiarity with paid media platforms and channel dynamics (SEM, paid social, programmatic)
Waymo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Waymo and has not been reviewed or approved by Waymo.
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Fair & Transparent Compensation — Pay is considered strong for full‑time technical roles, aligning with top‑tier AV/Big Tech benchmarks. Employer materials also emphasize competitive pay with eligibility for bonuses and equity as part of total rewards.
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Healthcare Strength — Coverage spans medical, dental, vision, mental‑health resources, onsite wellness centers, and counseling, with specialized programs such as menopause and transgender medical advocacy. Dependents are included, indicating depth across core health needs.
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Parental & Family Support — Offerings include fertility and family‑forming assistance, parental and baby‑bonding leave, caregiver and elder‑care support, and backup childcare. These programs are positioned to support families through multiple life stages.
Waymo Insights
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives. Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
