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

📋 Description

• 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
• Collaborate with Test Engineers to design experimental procedures on closed courses and simulation
• Extract, process, and analyze large-scale, high-dimensional datasets from vehicle logs and depot
• Partner with Systems Engineering, Software Engineering, and Product teams to determine key

🎯 Requirements

• Enrolled in a graduate program (Master's or PhD) in Data Science, Statistics, Operations Research
• 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
• Academic coursework or research experience in traffic flow theory, intelligent transportation