Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm in the motorsports industry is looking for a passionate Motorsports Sportscar Data Analyst. This exciting role involves applying data science and modeling techniques to enhance race strategies and tools, ensuring optimal performance during live events. You will collaborate with top teams, refine AI/ML models, and develop predictive analytics to drive success on the track. If you're ready to make a significant impact in a dynamic environment and possess a strong background in data analysis and motorsports, this opportunity is perfect for you.

Benefits

Relocation benefits

Flexible schedule

Travel opportunities

Qualifications

• 5+ years in top-level motorsports series with 2+ years developing strategy tools.
• Deep knowledge of motorsports race strategies and analysis during live events.

Responsibilities

• Refine existing AI/ML models for Sportscars and update Python code.
• Develop a platform for running and analyzing Monte Carlo simulations.

Skills

Python

AI/ML modeling

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

MATLAB

Monte Carlo simulations

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 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. This will facilitate insightful pre-race planning and enable quick identification of pivotal strategy points during live races.

What You’ll Do

1. Refine existing AI/ML models for Sportscars, updating Python code as needed.
2. Develop a platform for running and analyzing Monte Carlo simulations.
3. Create tire degradation models, refining parameters for accurate predictions.
4. Design visualizations to effectively convey insights, prototyping and collaborating with IT for deployment.
5. Use race strategy tools to verify accuracy, understand performance, and identify improvements, collaborating 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. Work with GM and sponsored motorsports teams to develop and support race strategy tools.
9. Co-develop race software with data science and IT teams.
10. Apply analysis techniques across different racing series for process validation and model refinement.

Minimum Qualifications

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series (e.g., NASCAR, IMSA, F1, IndyCar, WEC) with 2+ years developing strategy tools.
• Deep knowledge of motorsports race strategies and analysis during live events.
• Proficiency in Python, MATLAB, or similar languages.
• Familiarity with AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and forward thinking.
• Excellent interpersonal skills and experience in team relationship management.

Relocation benefits may be available. Travel up to 10% within the US.

Preferred Qualifications

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