Motorsports Sportscar Data Analyst

JR United Kingdom; Liverpool; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Motorsports Sportscar Data Analyst, where you'll leverage your expertise in data science to develop race strategy tools that enhance decision-making during live events. This innovative role combines your passion for motorsports with advanced analytical skills, allowing you to collaborate with top-tier teams and contribute to the development of cutting-edge simulations and models. With a hybrid work environment, you’ll have the flexibility to balance your professional and personal life while playing a vital role in shaping race strategies. If you're ready to make an impact in the thrilling world of motorsports, this is the opportunity for you.

Qualifications

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

Responsibilities

• Enhance existing AI/ML models for Sportscars, refining Python code as needed.
• Analyze vehicle pace considering track migration, traffic, and tire/fuel effects.

Skills

Python

AI/ML techniques

Data analysis

Interpersonal skills

Education

Bachelor’s Degree in Engineering or related field

Master’s degree in a related quantitative field

Tools

MATLAB

Hadoop

Spark

SQL

NoSQL

Job description

Job Description

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

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

Responsibilities

1. Enhance existing AI/ML models for Sportscars, refining Python code and reimagining models as needed.
2. Develop a platform for Monte Carlo simulations.
3. Create tire degradation models for accurate predictions.
4. Design visualizations to effectively convey insights, collaborating with IT and software teams for implementation.
5. Use race strategy tools to verify accuracy and identify areas for improvement, working with IMSA and WEC teams.
6. Analyze vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations for strategic planning.
8. Collaborate across GM 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 to validate and refine models.

Qualifications

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years in top-level motorsports series (e.g., NASCAR, IMSA, F1, IndyCar, WEC) with 2+ years developing strategy tools.
• Deep knowledge of motorsports race strategy and analysis during live events.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML techniques and industry applications.
• Strong organizational skills, attention to detail, and forward-thinking.
• Excellent interpersonal skills, with experience in team collaboration and navigating organizational politics.
• Ability to travel within the US up to 10%.

Preferred Qualifications

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