Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is on the lookout for a Motorsports Sportscar Data Analyst to join their dynamic team. This role involves applying data science and modeling techniques to enhance race strategy tools, enabling insightful pre-race planning and real-time decision-making during races. The ideal candidate will have a strong background in motorsports, with proficiency in Python and AI/ML techniques. This exciting opportunity offers a hybrid work environment, allowing you to collaborate with diverse teams while contributing to the thrill of motorsports. If you are passionate about data and racing, this position is perfect for you.

Qualifications

• 5+ years in top-level motorsports series with strategy tool experience.
• Deep knowledge of motorsports analysis and decision-making tools.

Responsibilities

• Refine AI/ML models and develop race strategy tools for motorsports.
• Collaborate with teams to analyze performance and improve strategies.

Skills

Python

MATLAB

AI/ML modeling techniques

Motorsports race strategy analysis

Team collaboration

Education

Bachelor’s Degree in Engineering

Master’s Degree in a quantitative field

Tools

Hadoop

Spark

SQL

NoSQL

Job description

Job Description

Hybrid: This role is categorized as hybrid, requiring the successful candidate to report to Concord, NC three times per week. Due to support for live race events during weekends, a flexible schedule is necessary.

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 races.

What You’ll Do

1. Refine existing AI/ML models for sportscar applications, updating Python code 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 new visualizations to effectively communicate insights, collaborating with IT and software teams for deployment.
5. Use race strategy tools and models to verify accuracy, understand performance, and identify areas for improvement. Work with IMSA and WEC teams to implement and extract insights from these tools.
6. Resolve vehicle pace factors considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations to inform strategy and session planning.
8. Collaborate with GM and motorsport teams to develop and support race strategy tools, providing analytical guidance.
9. Co-develop production race strategy software with data science and IT teams.
10. Apply analysis techniques across different racing series to validate and refine models, leveraging transfer learning.

What You’ll Need (Required Qualifications)

• 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 at least 2 years developing or using strategy tools during races.
• Deep knowledge of motorsports race strategy tools and analysis for live decision-making.
• 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 team collaboration and navigating organizational politics. Patience and a desire to mentor engineers.
• Ability to travel within the US up to 10%.

Preferred Qualifications

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