Motorsports Sportscar Data Analyst

JR United Kingdom; Ipswich; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to enhance race strategy tools using advanced data science techniques. This role involves refining AI/ML models, developing simulations, and collaborating with technical teams to create effective visualizations. With a focus on pre-race planning and real-time decision-making, the successful candidate will contribute to exciting live race events. Join a dynamic environment where your analytical skills can drive success in the fast-paced world of motorsports.

Qualifications

• 5+ years in top-level motorsports with 2+ years in strategy tools.
• Deep knowledge of race strategy tools and analysis.

Responsibilities

• Refine AI/ML models and develop race strategy tools.
• Create tire degradation models and analyze simulations.
• Collaborate with teams to support race strategy.

Skills

Python

AI/ML Modeling

Data Analysis

MATLAB

Organizational Skills

Interpersonal Skills

Education

Bachelor’s Degree in Engineering

Bachelor’s Degree in Physics

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Statistics

Bachelor’s Degree in Computer Science

Bachelor’s Degree in Data Science

Job description

Job Description

Hybrid: This role is categorized as hybrid, requiring the successful candidate to report to Concord, NC three times per week at minimum. The role also involves supporting live race events during weekends, necessitating a flexible schedule.

The Role
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.

What You’ll Do

1. Refine existing AI/ML models for Sportscars, updating Python code and reimagining models as needed.
2. Develop a platform for running and analyzing Monte Carlo simulations.
3. Create tire degradation models with accurate parameter fitting for future predictions.
4. Design and prototype visualizations to effectively communicate insights, collaborating with IT and software teams for production.
5. Verify and improve race strategy tools and models, working with IMSA and WEC teams to implement and analyze them.
6. Address vehicle pace calculations considering track migration, traffic, energy strategies, tire, and fuel effects.
7. Predict in-race and session-to-session pace variations to inform strategy.
8. Collaborate with technical teams across GM and sponsored motorsports teams to develop and support race strategy tools.
9. Co-develop production race strategy software with data science and IT teams.
10. Apply analysis techniques to other racing series for process validation and model refinement.

Minimum Requirements

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• At least 5 years of experience in top-level motorsports series, with 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 and industry applications.
• Strong organizational skills, attention to detail, and forward-thinking mentality.
• Excellent interpersonal skills, with experience in relationship building and navigating team politics.
• Ability to travel within the US up to 10% of the time.