Motorsports Tire Intelligence Scientist

Job Description At GM Motorsports, we are driven by a clear purpose: to accelerate our teams’ ability to win on the racetrack and in the marketplace. Our vision is to be the benchmark of global motorsports excellence, inspiring enduring passion for our brands and products through world-class performance, innovation, and teamwork. We are looking for people who share our mindset and core values — ownership in organizational success, a commitment to add value to our team, and the courage to reject mediocrity in pursuit of exceptional results. The Role The Motorsports Tire Intelligence Scientist develops data and analytics solutions that turn tire, vehicle, testing, simulation, and race data into actionable engineering insight. This individual contributor partners with Tire Science, data engineering, data science, vehicle dynamics, data platform teams, and motorsports stakeholders to improve tire design decisions, operating window understanding, and event execution. The role leads technically complex assignments, influences across functions through expertise and execution, and builds repeatable tools and workflows that support engineering decisions before, during, and after race events. At GM Motorsports, we are driven by a clear purpose: to accelerate our teams’ ability to win on the racetrack and in the marketplace. Our vision is to be the benchmark of global motorsports excellence, inspiring enduring passion for our brands and products through world-class performance, innovation, and teamwork. We are looking for people who share our mindset and core values — ownership in organizational success, a commitment to add value to our team, and the courage to reject mediocrity in pursuit of exceptional results. What You’ll Do • 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, mod