Science jobs in Singapur

This role is categorized as hybrid, requiring the successful candidate to report to Concord, NC three times per week. Flexibility is needed to support live race events during weekends.

We seek a Motorsports Sportscar Data Analyst to apply data science and modeling techniques for developing and refining race strategy tools, aiding pre-race planning and real-time decision-making during races.

1. Enhance existing AI/ML models for sportscar applications, refining Python code and reimagining models as needed.
2. Develop a platform for running and analyzing Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design effective visualizations to convey insights, prototyping and collaborating with IT for production.
5. Use race strategy tools to verify accuracy and collaborate with teams to implement and improve these tools.
6. Analyze vehicle pace, track conditions, and strategy variables to support race decision-making.
7. Work with GM and motorsports teams to develop and support race strategy software.
8. Apply analysis techniques across different racing series to validate and refine models.

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series with experience in strategy tools and analysis.
• Proficient in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML modeling techniques and industry applications.
• Strong organizational skills, attention to detail, and interpersonal abilities.

• Master’s degree in a related field.
• Experience in tire modeling and simulation workflows.
• Knowledge of machine learning libraries and big data tools.