2027 Summer Intern, MS/PhD, Data Science - Commercialization Testing
Core
Develop Bayesian forecasting and predictive analytics models to interpret small-sample test results and monitor fleet operations for Waymo's autonomous driving systems.
Role type
Summer Intern, Data Science (Commercialization Testing)
Builds
Predictive models for fleet operations and vehicle behavior analysis
Domain
Autonomous driving, Systems Engineering, Traffic Analytics
Deliverable
production ML models
Required skills
Bayesian modeling, predictive analytics, statistical inference, Python, SQL
Preferred skills
Traffic flow theory, intelligent transportation systems, simulation-based testing (SIL/HIL), survival analysis, probability modeling
Responsibilities
Develop and refine Bayesian forecasting models for test results; Build and optimize predictive analytics models for fleet monitoring; Collaborate on experimental procedures in closed courses and simulation; Extract and analyze large-scale vehicle log datasets; Partner with engineering teams to determine model coverage characteristics
Seniority
Intern