Motorsports Sportscar Data Analyst

JR United Kingdom; Plymouth; On-site; GBP 45,000 - 75,000; Full time

Job summary

An established industry player is looking for a Motorsports Sportscar Data Analyst to leverage data science in developing race strategy tools. This exciting role involves refining AI/ML models, conducting Monte Carlo simulations, and collaborating with diverse teams to enhance race strategies. You'll be at the forefront of motorsport analytics, working closely with top-level teams to optimize performance. If you're passionate about motorsports and data science, this opportunity offers a dynamic environment where your contributions will drive innovation and success on the track.

Benefits

Paid Time Off

Healthcare

401K Matching

Tuition Assistance

Vehicle Discounts

Qualifications

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

Responsibilities

• Refine AI/ML models for Sportscar applications and develop predictive models.
• Collaborate with teams to optimize race strategies and create visualizations.

Skills

Python

AI/ML Modeling

Data Analysis

Statistical Analysis

Collaboration

Education

Bachelor’s Degree in Engineering

Master’s Degree in a related field

Tools

MATLAB

Monte Carlo Simulations

Job description

Motorsports Sportscar Data Analyst, Plymouth

Client: General Motors

Location: Plymouth, 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. The role involves developing predictive models, visualizations, and collaborating with motorsport teams to optimize race strategies.

Responsibilities

1. Refine existing AI/ML models for Sportscar applications, updating Python code as needed.
2. Develop platforms for Monte Carlo simulations and tire degradation models.
3. Create visualizations to convey insights effectively, collaborating with IT and software teams.
4. Verify and improve race strategy tools, working with IMSA and WEC teams.
5. Analyze vehicle pace, track migration, traffic, and other factors to inform race strategies.
6. Collaborate with diverse teams across GM to develop and support race strategy tools.
7. Co-develop race strategy software with data science and IT teams.
8. Apply analysis techniques across different racing series for process validation and model refinement.

Qualifications

Required:

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series with 2+ years developing strategy tools.
• 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 and interpersonal skills, with mentoring ability.
• Ability to travel within the US (10%).

Preferred:

• Master’s degree in a related field.
• Experience with 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 promote inclusion, flexibility, and a culture of belonging.

Benefits

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

Diversity & Equal Opportunity

GM is committed to diversity and inclusion, providing equal employment opportunities and accommodations for applicants with disabilities.