Motorsports Sportscar Data Analyst

JR United Kingdom; Hemel Hempstead; On-site; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to enhance race strategy tools through data science and modeling techniques. This role involves refining AI/ML models, developing simulation platforms, and collaborating with motorsports teams to provide analytical insights. The ideal candidate will leverage their deep knowledge of motorsports and programming skills to drive impactful decision-making during live race events. Join a forward-thinking organization committed to a vision of Zero Crashes, Zero Emissions, and Zero Congestion, and be part of a team that values inclusion and innovation.

Benefits

Paid time off

Comprehensive health benefits

401K contributions

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in top-level motorsports with experience in strategy tools.
• Proficiency in Python and AI/ML modeling techniques.
• Strong organizational skills and attention to detail.

Responsibilities

• Refine AI/ML models for sportscar racing and update Python codebases.
• Develop platforms for Monte Carlo simulations and tire degradation models.
• Collaborate with teams to design visualizations and race strategy tools.

Skills

Python

AI/ML modeling techniques

Data analysis

Interpersonal skills

Organizational skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Hemel Hempstead

Client: General Motors

Location: Hemel Hempstead, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Description

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

Responsibilities

1. Refine existing AI/ML models for application in sportscar racing, updating Python codebases and reimagining models as needed.
2. Develop platforms for running and analyzing Monte Carlo simulations.
3. Create and refine tire degradation models for accurate predictions.
4. Design visualizations to effectively communicate insights, collaborating with IT and software teams to implement these visualizations.
5. Use race strategy tools and standalone models to verify accuracy and identify areas for improvement, working with IMSA and WEC teams.
6. Resolve vehicle pace metrics considering track migration, traffic, energy strategies, and tire and fuel effects.
7. Predict in-race and session-to-session pace variations to inform strategy.
8. Collaborate with GM motorsports teams to develop and support race strategy tools and provide analytical guidance.
9. Co-develop race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series to validate and refine models.
11. Transfer learning approaches between series.

Qualifications

Required:

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series (NASCAR, IMSA, F1, IndyCar, WEC, etc.) with at least 2 years developing or using strategy tools.
• Deep knowledge of motorsports race strategy tools and analysis during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills and experience in team collaboration and navigating organizational politics.
• Ability to travel within the US approximately 10% of the time.

Preferred:

• Master’s degree in a quantitative field.
• Experience in tire modeling and validation.
• Knowledge of simulation workflows and vehicle performance optimization.
• Experience with machine learning libraries and big data tools (Hadoop, Spark, SQL, NoSQL).

About GM

Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We strive to lead positive change through inclusion, innovation, and responsibility.

Benefits

Our total rewards program includes paid time off, comprehensive health benefits, 401K contributions, recognition programs, tuition assistance, and vehicle discounts.

Diversity & Equal Opportunity

GM is committed to fostering an inclusive environment and is an equal opportunity employer. We welcome applicants from diverse backgrounds and provide accommodations for those in need during the application process.