Motorsports Data Analyst

Description
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum.
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 with motorsports experience 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:

• Create breakthrough insights by performing exploratory and targeted data analyses
• Undertake preprocessing/postprocessing of structured and unstructured data
• Leverage motorsports race strategy understanding to define context of analysis findings
• 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 GM and GM sponsored Motorsports teams to provide data and analytic guidance.
#LI-LP2
Additional Description
Your Skills & Abilities (Required Qualifications)

• 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
• Minimum of three years of experience in a data-intensive field or industry post-graduation
• Proficiency with scripting languages (e.g. Python, R, or MATLAB)
• Experience developing, deploying, and monitoring performance of large analytic data sets and statistical forecasting models
• This job may be eligible for relocation benefits

What Will Give You A Competitive Edge (Preferred Qualifications)

• 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)
• 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)

About GM
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Why Join Us
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Diversity Information
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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Accommodations (U.S. and Canada)
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