Description
Hybrid This position does not require an employee to be on-site full-time to perform most effectively. The employee's role enables them to work at a GM facility or off-site as frequently as needed or desired. This position requires an employee to be onsite 1-3 times per week , with flexible schedule for periodic race weekend remote support.
GM Motorsports Software Engineering is looking to expand its motorsports data science and analytics group. GM Motorsports is currently racing in NASCAR, IndyCar, IMSA and is currently pursuing an entry into Formula 1.
Team Overview
GM Motorsports offers one of the most storied programs in racing history across multiple race classes. Our software engineering team analyzes, defines, and delivers next generation groundbreaking Motorsports IT software solutions. Using both innovative cloud-based infrastructure and software development standards, these solutions enable collaboration with GM Global Engineering, GM Motorsports, and our Race teams that accelerate our drivers to the finish line first!
Our combined team of analysts, architects, developers, data engineers, testers, and project managers work with GM Motorsports Engineering and Race teams to ensure podium wins for GM's NASCAR, IndyCar, and IMSA sportscar teams!
Job Summary
Accelerate your career with the thrill of professional racing. The software you create this week will be in action on the track next week. This is a rare chance for you to make a big difference on our driven development team. In this Data Science role, you will work closely with our full stack development team and data engineers to build solutions for strategic & analytic tools. You will design, develop, and deploy analytic models to support race team analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, using machine learning and artificial intelligence techniques to meet the specific needs of our data science, analytics, and GM key partner race teams. You will also drive development activities following appropriate methodologies to deliver value each week that helps us win races.
Additional DescriptionRequired Qualifications
At least 3 years of hands-on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
7 or more years with object-oriented/object function scripting languages
Degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or another quantitative field
Mastery with databases - Advanced SQL and NoSQL databases
Data Wrangling and Preparation: Alteryx, SAS, etc.
Ability to identify tasks which require automation and automate them
A demonstrable understanding of networking/distributed computing environment concepts
Ability to multi-task and stay organized in a dynamic work environment
Experience in developing large-scale integration and API solutions
Experience with cloud compute and storage platforms Azure, AWS, Google, and associated data tools.
Preferred Qualifications
Knowledge of Akka, Python, Kubernetes, Docker, GRPC
Previous IT experience with Motorsport Racing history/background a plus!
PhD. or Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field
Experience with Azure Cognitive Services
Stream-processing systems: Storm, Spark-Streaming, etc.
Academic or work experience in a data-intensive field or industry
Experience with Motorsport Racing
Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. PLEASE DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE.
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 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.
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Diversity InformationGeneral 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.
Equal Employment Opportunity StatementsThe policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 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.
Job details
Title
Senior Data Engineer - Motorsports
Employer
General Motor
Location
United States
Published
July 08, 2024
Application deadline
July 02, 2023
Job type
Research
Field
Engineering
About the employer
We embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Our diverse team of 164,000 employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion.
Together, we want to make electric vehicles for everyone and safely push transportation beyond our wildest imaginations with autonomous vehicles and advance hydrogen fuel cell technology. We are proud of our achievements so far, but there is more work to be done. Together, for everyone.