This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
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.
Salary Range
$230,000 — $284,000 USD
#J-18808-Ljbffr
Worksite address
mountain view, CA, 94039, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.