Data Science Intern (MS/PhD): Bayesian Modeling & Testing

Waymo; San Francisco (CA); On-site; USD 96,000 - 117,000; Full time

Job summary

Waymo seeks a graduate student for a data science internship in San Francisco to develop Bayesian forecasting models and predictive analytics for fleet operations. You will analyze vehicle data, collaborate with engineers, and deliver production-quality Python and SQL solutions.

The role emphasizes rigorous quantitative work, cross-team collaboration, and contributing to safety-focused mobility analytics within a leading autonomous driving company.

Qualifications

• 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.

Responsibilities

• 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.

Education

Graduate program in Data Science, Statistics, Operations Research, or a quantitative field

Tools

Python

SQL

Job description

Waymo seeks a graduate student for a data science internship in San Francisco to develop Bayesian forecasting models and predictive analytics for fleet operations. You will analyze vehicle data, collaborate with engineers, and deliver production-quality Python and SQL solutions.

The role emphasizes rigorous quantitative work, cross-team collaboration, and contributing to safety-focused mobility analytics within a leading autonomous driving company.