Motorsports Sportscar Data Analyst

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

Job summary

An innovative company in the motorsports industry is on the lookout for a passionate Motorsports Sportscar Data Analyst. This exciting role involves applying data science and modeling techniques to enhance race strategy tools, ensuring optimal decision-making during live events. The successful candidate will work closely with various teams to develop and analyze models, contributing to the success of race strategies. If you have a strong background in engineering or data science and a love for motorsports, this is the perfect opportunity to make a significant impact in an exhilarating field.

Qualifications

• 5+ years of experience in top-level motorsports series.
• Deep knowledge of motorsports race strategy tools.
• Familiarity with AI/ML modeling techniques.

Responsibilities

• Develop and refine race strategy tools using data science techniques.
• Create tire degradation models and effective visualizations.
• Collaborate with teams to implement and analyze race data.

Skills

Python

AI/ML modeling

Data analysis

MATLAB

Organizational skills

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. The successful candidate is expected to report to Concord, NC three times per week at minimum. Due to support for live race events during weekends, flexibility in working hours is required.

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

What You’ll Do

1. Evolve existing AI/ML models for application in Sportscars, refining Python code and reimagining where necessary.
2. Develop platforms for running and analyzing Monte Carlo simulations.
3. Create tire degradation models, refining parameters for accurate predictions.
4. Design effective visualizations to convey insights, prototyping and collaborating with IT and software teams for implementation.
5. Verify and improve race strategy tools and models, collaborating with IMSA and WEC teams to implement and analyze race data.
6. Resolve vehicle pace considering track migration, traffic, energy strategies, and tire/fuel effects.
7. Predict in-race and session-to-session pace variations to optimize strategies.
8. Collaborate with GM and motorsport teams to develop and support race strategy tools and analyses.
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, transferring learning between series.

What You’ll Need (Required Qualifications)

• Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field.
• 5+ years of experience in top-level motorsports series, including at least 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 and experience navigating team and organizational politics.
• Ability to travel within the US up to 10%.

Preferred Qualifications

• Master’s degree in a quantitative 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).