Motorsports Data Analyst

General Motor
June 23, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A

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 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.


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

  • Create breakthrough solutions, performing exploratory and targeted data analyses

  • Build predictive models and machine-learning algorithms

  • Analyze large amounts of diverse information to discover trends and patterns

  • Undertake preprocessing of structured and unstructured data

  • Monitor and sustain model effectiveness

  • Present complex information using data visualization techniques

  • Support live, in-race strategy modeling tools including:

  • Model training and configuration of model starting point from prior event data for weekly motorsports events

  • Monitor in-race strategy predictions and rapidly convey these recommendations to GM Motorsports teams to help teams act on tool insights

  • 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 across GM and GM sponsored Motorsports teats to provide data and analytic guidance

  • To succeed in this role, we are looking for an individual with:

  • the ability to prioritize and manage multiple tasks and projects simultaneously

  • strong listening and communications skills

  • a highly collaborative work style

  • a detail focused mindset

  • Additional Description

    Required Qualifications:

  • Bachelor of Science degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or, another quantitative field

  • Minimum of 2 years of experience in a data-intensive field or industry

  • Motorsports interest

  • Experience with scripting languages (e.g. Python or R)

  • Experience with Data Visualization (e.g. Tableau, Power BI or similar)

  • Experience developing, deploying, and monitoring performance of large analytic data sets and statistical forecasting models

  • Preferred Qualifications:

  • Master of Science degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or, another quantitative field

  • Experience with data analysis or race strategy in a professional motorsports environment

  • Experience with machine learning libraries (e.g. TensorFlow, Scikit- Learn, Spark ML, or equivalent)

  • Experience with big data tools (e.g. Hadoop, Spark, SQL, and NoSQL Database experience)

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    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.

    We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

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