2027 Summer Intern, MS/PhD, Data Science - Commercialization Testing

Waymo is an autonomous driving technology company developing the Waymo Driver and autonomous mobility services. The Data Science Commercialization Testing Intern will develop Bayesian forecasting and predictive analytics models, analyze vehicle and fleet datasets, and collaborate with engineering and product teams to design tests and assess performance.

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

What they're looking for:

• 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
• 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
• Academic coursework or research experience in traffic flow theory, intelligent transportation systems, fleet routing, or urban mobility
• Familiarity with autonomous vehicle technology, simulation-based testing (SIL/HIL), or systems engineering principles
• Experience with survival analysis, probability modeling, or extreme value theory applied to safety-critical systems
• Comfort navigating highly ambiguous, unstructured problems in a fast-paced R&D environment

Benefits:

• Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.
• Hybrid onsite internship position