Motorsports Tire Data Scientist — Hybrid Role

General Motors; Concord (NC); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work

Relocation benefits

Job summary

GM Motorsports is seeking an experienced Tire Intelligence Scientist to transform tire, vehicle, testing, and race data into actionable engineering insight. You will lead complex analytics efforts, build end-to-end data workflows, and deliver dashboards and reports for race events and strategy decisions.

The role requires 5+ years applying data science to physical systems, strong Python and data-engineering skills, and the ability to collaborate across Tire Science, data platforms, and

Qualifications

• Bachelor’s degree in data science, statistics, computer science, mechanical engineering, automotive engineering, applied mathematics, or a related technical field.
• 5+ years of postgraduate experience applying data science, advanced analytics, or machine learning to physical systems such as tires, vehicles, chassis, durability, noise, vibration and harshness, or similar domains.
• Experience building analytical models in Python, or similar programming environments using modern data science libraries.
• Experience working with complex, multi-source engineering datasets and designing reliable end-to-end data workflows.
• Strong communication skills, with the ability to explain technical findings clearly to engineering and non-data audiences.
• Demonstrated technical leadership in project delivery, stakeholder alignment, and implementation of impactful analytics solutions.

Responsibilities

• Build and maintain reliable data workflows that ingest, clean, align, and validate tire data from laboratory, rig, cleat, simulation, track, telemetry, and post-event sources.
• Combine structured and unstructured engineering data into analysis-ready datasets for tire performance studies and model development.
• Partner with information technology, software, and data platform teams to support data architecture, access, governance, traceability, quality, and documentation.
• Develop and apply statistical, artificial intelligence, and machine learning models to predict tire behavior, including grip evolution, wear, degradation, durability, warm-up behavior, rolling resistance, and event performance.
• Apply time-series analysis, feature engineering, uncertainty quantification, and interpretable modeling to noisy, sparse, and variable motorsports data.
• Work with Tire Science, data engineering, data science, vehicle dynamics, and performance teams to translate engineering questions into scalable analytical solutions.
• Analyze tire operating windows, pressure and setup sensitivity, degradation trends, and the tire contribution to lap time, stint length, and strategy outcomes.
• Deliver dashboards, notebooks, automated reports, and decision-support tools for test reviews, event preparation, race support, post-event assessments, and trend tracking.
• Standardize common analyses and create user-friendly workflows that reduce manual data handling and accelerate insight generation for trackside and remote teams.
• Collaborate with tire suppliers, motorsports partners, and internal stakeholders on technical data interfaces, standards, test methods, performance trends, and operating recommendations.
• Lead project scoping, analytical method selection, stakeholder alignment, and delivery planning for high-value analytics efforts.
• Mentor engineers and analysts in data-driven problem solving, model interpretation, reproducible workflows, and engineering communication.
• Establish best practices for coding, model validation, reproducibility, and technical communication.

Skills

Python

Data science

Machine learning

Time-series analysis

Data pipelines

Stakeholder communication

Leadership

Education

Bachelor’s degree in data science

Postgraduate experience in analytics

Tools

Python

SQL

Databricks

Azure

Job description

GM Motorsports is seeking an experienced Tire Intelligence Scientist to transform tire, vehicle, testing, and race data into actionable engineering insight. You will lead complex analytics efforts, build end-to-end data workflows, and deliver dashboards and reports for race events and strategy decisions.

The role requires 5+ years applying data science to physical systems, strong Python and data-engineering skills, and the ability to collaborate across Tire Science, data platforms, and