Motorsports Sportscar Data Analyst

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

Job summary

An innovative firm is seeking a Motorsports Sportscar Data Analyst to enhance race strategy through data science and modeling. In this hybrid role, you'll refine AI/ML models, develop simulation platforms, and create tire degradation models for accurate predictions. Collaborating with IT and software teams, you'll communicate insights effectively and verify race strategy tools. With a focus on pre-race planning and real-time decision-making during live events, this position offers a unique opportunity to impact the motorsports industry significantly. If you have a passion for racing and data analysis, this role is for you!

Benefits

Relocation benefits

Flexible working hours

Travel opportunities

Qualifications

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

Responsibilities

• Refine AI/ML models for Sportscars and develop Monte Carlo simulations.
• Design visualizations and collaborate with IT for deployment.

Skills

Python

MATLAB

AI/ML modeling techniques

Organizational skills

Interpersonal skills

Education

Bachelor’s Degree in Engineering

Master’s Degree in a related field

Tools

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 live race events during weekends.

The Role
Seeking a Motorsports Sportscar Data Analyst to develop and refine race strategy tools using data science and modeling techniques, 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 as needed.
2. Develop a platform for 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 deployment.
5. Verify and enhance race strategy tools and models, working with IMSA and WEC teams.
6. Analyze vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict pace variations to inform session strategies.
8. Collaborate across GM and 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 to other racing series for process validation and model refinement.

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, with 2+ years developing or using strategy tools.
• Deep knowledge of motorsports race strategy tools and analysis during live races.
• Proficiency in Python, MATLAB, or similar programming languages.
• Familiarity with AI/ML modeling techniques.
• Strong organizational skills, attention to detail, and forward-thinking.
• Excellent interpersonal skills, relationship-building, and patience for mentoring.

Relocation benefits may be available. Travel up to 10% within the US.

Preferred Qualifications

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