Motorsports Sportscar Data Analyst, Oxford District
Client: General Motors
Location: Oxford District, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Views:7
Posted:05.05.2025
Expiry Date:19.06.2025
Job Description:
This role involves applying data science and modeling techniques to develop race strategy tools, supporting pre-race planning, and making real-time strategic decisions during live race events. The position requires reporting to Concord, NC three times a week, with flexibility for weekend race support.
Responsibilities include:

Refining existing AI/ML models for sportscar applications, updating Python code as needed.
Developing platforms for Monte Carlo simulations.
Creating tire degradation models for accurate predictions.
Designing visualizations to communicate insights effectively, collaborating with IT and software teams.
Verifying and improving race strategy tools and models, working with IMSA and WEC teams.
Resolving vehicle pace issues related to track conditions, traffic, and energy strategies.
Predicting in-race and session-to-session pace variations for strategic planning.
Collaborating across GM and motorsports teams to develop and support race strategy tools.
Co-developing race strategy software with data science and IT teams.
Applying 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 fields.
At least 5 years of experience in top-level motorsports series, with 2+ years developing strategy tools.
Deep knowledge of motorsports race strategies 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 interpersonal abilities.
Ability to travel within the U. S. up to 10% and relocate if necessary.

Preferred:

Master’s degree in a relevant quantitative field.
Experience in tire modeling and simulation workflows.
Knowledge of machine learning libraries and big data tools (Hadoop, Spark, SQL, No SQL).

About GM:
Our vision is a world with Zero Crashes, Zero Emissions, and Zero Congestion. We strive for inclusivity and innovation, supporting our employees' growth and well-being.
Benefits:
Comprehensive health coverage, paid time off, 401 K matching, recognition programs, tuition assistance, vehicle discounts, and more.
Equal Opportunity:
GM is committed to diversity and inclusion, providing a work environment free of discrimination. We encourage all qualified candidates to apply.
Note: If you are not a passport holder of the country for the vacancy, you may need a work permit. Please check our blog for more info.
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