Motorsports Sportscar Data Analyst

JR United Kingdom; Basingstoke; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative company is seeking a Motorsports Sportscar Data Analyst to enhance race strategy tools using data science and modeling techniques. This hybrid role involves refining AI/ML models, developing simulations, and collaborating with various teams to optimize race strategies. Ideal candidates will have a strong background in motorsports, excellent programming skills in Python, and a passion for data-driven decision-making. This position offers a unique opportunity to contribute to live racing events and make a significant impact on race outcomes. Join a dynamic team and be part of the exciting world of motorsports!

Qualifications

• 5+ years in motorsports with 2+ years developing strategy tools.
• Proficiency in Python and AI/ML modeling techniques.

Responsibilities

• Refine AI/ML models and develop race strategy tools.
• Analyze vehicle pace and collaborate with motorsports teams.

Skills

Python

AI/ML modeling techniques

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s degree in a related field

Tools

MATLAB

Monte Carlo simulations

Machine learning libraries

Job description

Job Description

Hybrid: This role is categorized as hybrid. The successful candidate is expected to report to Concord, NC three times per week at minimum. The role may require working a flexible schedule to support live race events during weekends.

The Role

Seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop race strategy tools, facilitating pre-race planning and real-time decision-making during live race events.

What You’ll Do

1. Refine existing AI/ML models for Sportscars, updating Python codebases as needed.
2. Develop a platform for running and analyzing Monte Carlo simulations.
3. Create tire degradation models for accurate predictions.
4. Design visualizations to effectively convey insights, collaborating with IT and software teams for implementation.
5. Use race strategy tools to verify accuracy and identify areas for improvement, working with IMSA and WEC teams.
6. Analyze vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations for strategic planning.
8. Collaborate with GM and motorsports teams to develop and support race strategy tools.
9. Co-develop race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series for process validation and model refinement.

What You’ll Need (Required Qualifications)

1. Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
2. 5+ years of experience in top-level motorsports series with 2+ years developing strategy tools.
3. Knowledge of motorsports race strategy tools and analysis during live events.
4. Proficiency in Python, MATLAB, or similar programming languages.
5. Familiarity with AI/ML modeling techniques.
6. Strong organizational skills and attention to detail.
7. Excellent interpersonal skills and ability to work across teams.
8. Ability to travel within the U.S. up to 10%.

Preferred Qualifications

1. Master’s degree in a related field.
2. Experience in tire modeling and validation.
3. Knowledge of simulation workflows in professional motorsports.
4. Experience with machine learning libraries and big data tools.

Additional sections about GM, benefits, diversity, and equal opportunity statements are retained as is, but can be summarized or omitted if brevity is preferred.