Motorsports Tire Intelligence Scientist

General Motors (GM); Concord (NC); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation benefits

Hybrid work model

Job summary

GM Motorsports is seeking a Tire Intelligence Scientist to transform tire, vehicle, testing, simulation, and race data into actionable engineering insights. You will build reliable data workflows and partner with Tire Science, data engineering, data science, vehicle dynamics, and performance teams to improve tire design decisions and race execution.

The role emphasizes scalable analytics, time-series modeling, dashboards, and reproducible workflows to support trackside and race-day decisions,

Qualifications

• Bachelor’s degree in data science, statistics, CS, or engineering.
• 5+ years applying data science, analytics, or ML to physical systems.
• Experience building analytical models in Python with modern libraries.
• Experience with multi-source engineering datasets and end-to-end pipelines.
• Strong communication to explain findings to engineers and non-data audiences.
• Demonstrated technical leadership in project delivery.

Responsibilities

• Build and maintain data workflows ingesting tire data from multiple sources.
• Combine structured and unstructured data into analysis-ready datasets.
• Develop AI/ML models to predict tire behavior.
• Apply time-series analysis and uncertainty quantification.
• Deliver dashboards, notebooks, and decision-support tools.
• Lead scoping and planning for analytics projects.
• Mentor engineers and analysts in data-driven problem solving.

Skills

Data science

Statistics

Python

Machine learning

Time-series analysis

Data pipelines

Education

Bachelor's degree in data science, statistics, computer science, mechanical engineering, automotive engineering, applied mathematics, or related technical field

Tools

Azure

Databricks

SQL

Job description

Job DescriptionAt 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 RoleThe 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 DoBuild 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.What You’ll Need (Required Qualifications)Bachelor’s degree in data science, statistics, computer science, mechanical engineering, automotive engineering, applied mathematics, or a related technical field.5 or more 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.What Will Give you a Competitive Edge (Preferred Qualifications)Master’s degree or doctorate in a relevant discipline.Experience with tire mechanics, tire performance, vehicle dynamics, or motorsports engineering.Experience analyzing time-series telemetry across testing, simulation, and race events.Experience with cloud-based data platforms such as Azure or Databricks.Experience building dashboards or decision-support tools for engineering users.Familiarity with GM engineering processes, motorsports program execution , or series-level technical requirements and regulations.Success in This RoleFaster, higher-quality tire performance analysis across testing, driver-in-the-loop simulation, and race events.Reusable and robust data pipelines, analytical workflows, and predictive models.Greater confidence in insights used for tire design, setup, and race-support decisions.Broader adoption of standardized analytics tools by Tire Science and race engineering teams.Practical, trusted use of artificial intelligence and machine learning to improve engineering decisions.#LI-LP2This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.Relocation benefits are available for candidates who qualify under company policy.About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join UsWe believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Benefits OverviewFrom day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .Non-Discrimination and Equal Employment Opportunities (U.S.)General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.