The opportunity
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…
What you'll do
Develop, implement, and refine Bayesian forecasting models to interpret small-sample test results.
Build and optimize predictive analytics models to monitor fleet operations and analyze vehicle behavior.
Collaborate with Test Engineers to design experimental procedures on closed: courses and simulation environments.
Extract, process, and analyze large-scale, high-dimensional datasets from: vehicle logs and depot operations using Python and SQL.
Partner with Systems Engineering, Software Engineering, and Product teams to: determine key performance characteristics for model coverage.
Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics,: Operations Research, Civil Engineering (with a focus on traffic/mobility analytics), or a highly quantitative field.
What they're looking for
- Strong foundation in predictive analytics, Bayesian modeling, and statistical inference.
- Proficiency in writing production-quality Python.
- Strong SQL skills with experience querying and synthesizing data from large-scale databases.
- Strong communication skills to present complex quantitative results and: statistical limitations clearly to non-technical stakeholders.
