Motorsports Sportscar Data Analyst

JR United Kingdom; Bristol; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An established industry player is looking for a Motorsports Sportscar Data Analyst to leverage data science for developing race strategy tools. In this hybrid role, you'll apply your expertise in Python and AI/ML modeling to enhance performance during live race events. Collaborating with top motorsports teams, you'll refine models, analyze tire degradation, and predict pace variations, all while enjoying a supportive work environment that champions diversity and innovation. This is a unique opportunity to impact the thrilling world of motorsports while benefiting from a comprehensive package of perks and a commitment to your professional growth.

Benefits

Paid time off

Healthcare

401K matching

Recognition programs

Tuition assistance

Vehicle discounts

Qualifications

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

Responsibilities

• Refine AI/ML models and develop a platform for Monte Carlo simulations.
• Collaborate with teams to design visualizations and verify race strategy tools.

Skills

Python

MATLAB

AI/ML modeling techniques

Data analysis

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, or Data Science

Master’s degree in a quantitative field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Job Title: Motorsports Sportscar Data Analyst, Bristol

Client: General Motors

Location: Bristol, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Details

This role is categorized as hybrid. The successful candidate is expected to report to Concord, NC three times per week, with flexibility to support live race events during weekends.

Role Overview

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

Responsibilities

1. Refine existing AI/ML models for Sportscars, updating Python code and reimagining where necessary.
2. Develop a platform 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 for implementation.
5. Verify race strategy tools and models, collaborating with IMSA and WEC teams to enhance performance.
6. Resolve true vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations to inform strategies.
8. Collaborate with GM motorsports 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 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 (NASCAR, IMSA, F1, IndyCar, WEC, etc.), with 2+ years developing or using strategy tools.
• Knowledge of motorsports race strategy tools and analysis for live decisions.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques.
• Strong organizational and interpersonal skills, detail-oriented, and patient with a mentoring mindset.
• Ability to travel within the US up to 10%.

Preferred:

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

Company & Benefits

General Motors aims for a world with Zero Crashes, Zero Emissions, and Zero Congestion, fostering an inclusive environment. Benefits include paid time off, healthcare, 401K matching, recognition programs, tuition assistance, and vehicle discounts.

Equal Opportunity

GM is committed to diversity and inclusion, providing a work environment free from discrimination and supporting equal employment opportunities for all qualified individuals. Reasonable accommodations are available upon request.