Staff Data Scientist, Paid Media
Core
Designing and executing incrementality measurement programs, ROI methodologies, and LTV/CAC frameworks to optimize paid media spend and guide marketing allocation for Waymo's autonomous ride-hail service.
Role type
Staff Data Scientist (Paid Media & Growth)
Builds
Incrementality measurement programs, ROI methodologies, LTV/CAC frameworks, and optimization guardrails for acquisition channels.
Domain
Autonomous mobility / Rideshare / Paid Media
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Causal inference, incrementality experiment design (geo holdouts, switchbacks), media mix modeling, LTV/CAC framework construction, SQL, Python/R, statistical modeling
Preferred skills
Media mix modeling (MMM), multi-touch attribution (MTA), mobile measurement partner (MMP) experience, paid media platform dynamics (SEM, social, programmatic), high-growth consumer tech background
Technologies
SQL, Python, R
Responsibilities
Connect marketing performance to business outcomes via ROI methodologies; Own optimization across brand media, performance channels, promotions, and referrals; Design and run incrementality measurement programs; Build LTV and CAC frameworks to guide marketing spend allocation; Lead deep-dive analyses across geos, audiences, and channels to identify growth levers.
Seniority
Staff, hands-on IC with strategic scope
