Motorsports Data Analyst Jobs

Hybrid: Position does not require an employee to be on-site full-time, but the general expectation is that the employee be onsite an average of three (3) days each week.

The Role

The GM Motorsports team develops analytics-driven solutions to help GM sponsored race teams reach the winner’s circle. We are seeking a data analyst to drive solution development, deployment, and in-race support of analytic models for predictive race strategy analysis. As this role requires support of live motorsports events, often occurring over the weekend, the ability to work a flexible schedule is required. In addition to live strategy tools, the role will entail extensive data mining and ad hoc analysis to identify performance trends in past event data and clear, concise presentation of analysis findings to GM Motorsports teams.

What You’ll Do

Apply Data Science and Modeling techniques to drive data driven decision making and solve complex business problems:

• Undertake preprocessing/postprocessing of structured and unstructured data
• Leverage motorsports race strategy understanding to define context of analysis findings
• Present complex information using data visualization techniques
• Monitor and sustain model effectiveness
• Create breakthrough insights by performing exploratory and targeted data analyses

Support live, in-race strategy modeling tools including:

• Monitor in-race strategy predictions and rapidly convey these recommendations to GM Motorsports teams to help teams act on tool insights
• Model training and configuration of model starting point from prior event data for weekly motorsports events
• Collect tool performance characteristics and work with GM Motorsports Data Analytics and Software Development group to implement solutions to improve tools prediction and performance
• Run post-session reporting on event data

Collaborate with diverse technical teams across both GM and GM sponsored Motorsports teams to provide data and analytic guidance.

Additional

Your Skills & Abilities (Required Qualifications)

• Minimum of three years of experience in a data-intensive field or industry post-graduation
• Experience developing, deploying, and monitoring performance of large analytic data sets and statistical forecasting models
• Proficiency with scripting languages (e.g. Python, R, or MATLAB)
• One year of experience using data and race strategy tools to drive decisions in a professional motorsports environment
• Bachelor of Science degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or, another quantitative field

What Will Give You A Competitive Edge (Preferred Qualifications)

• Experience with big data tools (e.g. Hadoop, Spark, SQL, and NoSQL Database experience)
• Experience with machine learning libraries (e.g. TensorFlow, Scikit-Learn, Spark ML, or equivalent)
• Master of Science degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or, another quantitative field
• Experience with Data Visualization (e.g. Tableau, Power BI or similar)

About GM

Our 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 Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

Diversity Information

General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an indivi d ual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] or call us at 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.