Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to enhance race strategies through data science. This hybrid role involves refining AI/ML models, developing simulation platforms, and collaborating with teams to validate race strategy tools. The ideal candidate will have a strong background in motorsports and proficiency in programming languages like Python and MATLAB. Join a dynamic team where your analytical skills will drive strategic decisions in high-stakes racing environments. If you are passionate about motorsports and data-driven insights, this opportunity is perfect for you.

Qualifications

• 5+ years in top-level motorsports with 2+ years in strategy tools development.
• Strong proficiency in Python and MATLAB for data analysis and modeling.

Responsibilities

• Refine AI/ML models for Sportscar applications and develop race strategy tools.
• Collaborate with teams to validate race strategies and analyze vehicle pace.

Skills

Python

MATLAB

AI/ML modeling techniques

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Bachelor’s Degree in Physics

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Data Science

Master’s degree in a related field

Tools

Monte Carlo simulations

Machine learning libraries

Big data tools

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. Due to support for live race events during weekends, flexibility in work schedule is required.

The Role
We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning and real-time strategy adjustments during live race events.

What You’ll Do

1. Refine existing AI/ML models for Sportscar applications, updating Python code bases as needed.
2. Develop platforms for running and analyzing Monte Carlo simulations.
3. Create tire degradation models, refining parameters for accurate predictions.
4. Design and prototype visualizations to effectively communicate insights, collaborating with IT and software teams for implementation.
5. Validate race strategy tools and models, collaborating with IMSA and WEC teams for deployment and insights.
6. Analyze vehicle pace considering track conditions, traffic, and strategies.
7. Predict in-race and session-to-session pace variations to inform strategic decisions.
8. Collaborate with GM and motorsports teams to develop and support race strategy tools.
9. Co-develop production race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series to validate and refine models.

Minimum Requirements

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• At least 5 years of experience in top-level motorsports series, with 2+ years developing or utilizing strategy tools.
• Proficiency in Python, MATLAB, or similar programming languages.
• Knowledge of AI/ML modeling techniques and industry applications.
• Strong organizational skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills and ability to navigate team and organizational politics.

Preferred Qualifications

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