This role focuses on the development and maintenance of predictive models to optimize real-time race strategy decisions
Job Summary
This role focuses on the development and maintenance of predictive models to optimize real-time race strategy decisions.
The position will be responsible for implementing cloud-based simulations, leveraging data science techniques to analyze historical race data, and communicating data-driven insights to race strategists to support decision-making before, during, and after race events.
Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve.
Matching Summary
This role focuses on the development and maintenance of predictive models to optimize real-time race strategy decisions.
Skills & Requirements
Must-have
predictive modeling
data science techniques
cloud-based simulations
Python, C++, MATLAB
machine learning frameworks
Nice-to-have
AI/ML modeling techniques
vehicle dynamics and tire modeling
NASCAR strategy tools
collaborative and respectful environment
Key Requirements
Bachelor's degree in Engineering, Statistics, Data Science
3+ years of professional motorsports experience
Experience using predictive modeling and data analytics
Proficiency in Rust, Python, C++, MATLAB
Experience with probabilistic programming and machine learning frameworks