Motorsports Sportscar Data Analyst

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

Job summary

An established industry player is on the lookout for a skilled Motorsports Sportscar Data Analyst to enhance race strategies using data science and modeling techniques. This role involves refining AI/ML models, developing simulation platforms, and collaborating with top motorsports teams to optimize performance. The ideal candidate will have extensive experience in motorsports, a strong proficiency in programming languages like Python, and a passion for data-driven decision-making. Join a dynamic environment where your insights can make a real impact on live racing events.

Benefits

Paid time off

Healthcare

Retirement contributions

Tuition assistance

Vehicle discounts

Qualifications

• 5+ years in motorsports with strategy tool development experience.
• Deep knowledge of motorsports race strategy tools and analysis.

Responsibilities

• Refine AI/ML models and develop platforms for simulations.
• Collaborate with teams to validate race strategy tools.

Skills

Python

AI/ML modeling techniques

MATLAB

Data analysis

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s degree in a quantitative field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Motorsports Sportscar Data Analyst, Cambridge

Client: General Motors

Location: Cambridge, MA

Job Category: Other

EU work permit required: Yes

Job Views: 5

Posted: 05.05.2025

Expiry Date: 19.06.2025

Job Description

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 decision making during live race events.

Responsibilities

1. Refine existing AI/ML models for motorsports applications, updating Python codebases and reimagining models as needed.
2. Develop platforms for running and analyzing Monte Carlo simulations.
3. Create and optimize tire degradation models for accurate predictions.
4. Design and prototype visualizations to effectively convey insights, collaborating with IT and software teams for implementation.
5. Validate race strategy tools and models, collaborating with IMSA and WEC teams to enhance performance.
6. Analyze vehicle pace, track migration, traffic, and energy strategies to support race decisions.
7. Predict in-race and session-to-session pace variations to guide strategy.
8. Collaborate with GM motorsports teams to develop, support, and transfer race strategy tools and models across series.
9. Support other racing series with analysis techniques and modeling approaches.

Qualifications

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• Minimum 5 years of experience in top-level motorsports series (e.g., NASCAR, IMSA, F1, IndyCar, WEC) with at least 2 years developing 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 and industry applications.
• Strong organizational skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills and experience working across teams and organizations.
• Willingness to travel within the US (up to 10%).

Preferred Qualifications

• Master’s degree in a quantitative field.
• Experience in tire modeling, construction, testing, and validation.
• Knowledge of simulation workflows in professional motorsports.
• 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 are committed to inclusion, diversity, and creating a workplace where everyone belongs.

Benefits

Our total rewards program includes paid time off, healthcare, retirement contributions, recognition programs, tuition assistance, and vehicle discounts.

Diversity and Equal Opportunity

GM is dedicated to fostering an inclusive environment and is an equal opportunity employer. We encourage all qualified candidates to apply and support accommodations if needed.