Data Science Intern: Bayesian Forecasting & Vehicle Analytics

Waymo; San Francisco (CA); Hybrid; USD 96,000 - 117,000; Part time

Benefits offered by this job

Generous benefits programs

Job summary

Waymo is seeking an intern in a data science-intensive role. You will develop Bayesian forecasting models and predictive analytics to interpret test results, monitor fleet operations, and analyze vehicle behavior using Python and SQL.

You’ll collaborate with Test Engineers and cross-functional teams to design experiments on real and simulated environments. The position is hybrid onsite, with a rolling application process and benefits eligibility.

Qualifications

• Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research, Civil Engineering (with 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 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 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.

Skills

Bayesian forecasting

Predictive analytics

Python

SQL

Communication

Education

Graduate student in Data Science/Statistics/OR/Civil Engineering

Tools

Python

SQL

Job description

Waymo is seeking an intern in a data science-intensive role. You will develop Bayesian forecasting models and predictive analytics to interpret test results, monitor fleet operations, and analyze vehicle behavior using Python and SQL.

You’ll collaborate with Test Engineers and cross-functional teams to design experiments on real and simulated environments. The position is hybrid onsite, with a rolling application process and benefits eligibility.