Workplace Classification:
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 up to 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.
The Team:
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!
The Role:
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.
What You'll Do (Responsibilities):
- Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across a variety of business units.
- 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.
- Combine models through ensemble modeling.
- Present complex information using data visualization techniques.
- Work with diverse technical teams and provide data and analytic oversight to ensure project deliverables fulfill business needs and timing.
