Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to leverage data science in developing race strategy tools. This hybrid role involves refining AI/ML models, creating tire degradation predictions, and collaborating with cross-functional teams to enhance race strategies. The ideal candidate will have a strong background in motorsports and data analysis, with proficiency in Python and experience in high-pressure environments. Join a forward-thinking organization committed to a future of zero crashes and zero emissions, where your insights will directly impact race outcomes and strategies.

Benefits

Paid time off

Healthcare

401K matching

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in top-level motorsports series; 2+ years developing strategy tools.
• Proficiency in Python and familiarity with AI/ML techniques.

Responsibilities

• Refine AI/ML models for sportscar applications and develop simulation platforms.
• Analyze vehicle pace and collaborate with teams to enhance race strategy tools.

Skills

Python

AI/ML techniques

Data analysis

Tire modeling

Statistical analysis

Education

Bachelor’s in Engineering

Master’s degree in a related field

Tools

MATLAB

Job description

Motorsports Sportscar Data Analyst, Birmingham

Client: General Motors

Location: Birmingham, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Details

This role is categorized as hybrid, requiring reporting to Concord, NC three times per week. Flexibility is needed for weekend race events.

Job Description

We seek a Motorsports Sportscar Data Analyst to apply data science and modeling techniques for developing race strategy tools, aiding pre-race planning, and identifying key strategy points during live races.

Responsibilities

1. Refine existing AI/ML models for sportscar applications, updating Python code as needed.
2. Develop platforms for Monte Carlo simulations.
3. Create tire degradation models with accurate predictions.
4. Design and prototype new visualizations for insights, collaborating with IT for production.
5. Verify and enhance race strategy tools using live data, working with IMSA and WEC teams.
6. Analyze vehicle pace considering track migration, traffic, and energy strategies.
7. Predict in-race and session pace variations for strategic planning.
8. Collaborate across GM 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 validation and refinement.

Qualifications

Required:

• Bachelor’s in Engineering, Physics, Math, Statistics, Computer Science, or related.
• 5+ years in top-level motorsports series; 2+ years developing strategy tools.
• Knowledge of motorsports strategy tools and analysis during live events.
• Proficiency in Python, MATLAB, or similar.
• Familiarity with AI/ML techniques.
• Strong organizational and interpersonal skills.
• Ability to travel within the US (~10%).

Preferred:

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

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We foster inclusion and flexibility, supporting our employees' diverse backgrounds and needs.

Benefits

Our rewards include paid time off, healthcare, 401K matching, recognition programs, tuition assistance, and vehicle discounts.

Diversity & Equal Opportunity

GM is committed to an inclusive workplace, free of discrimination, embracing diversity in all forms, and providing reasonable accommodations as needed.