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.Additional Job DescriptionWhat You'll Need (Required Qualifications):
Bachelors degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or another quantitative fieldAt least 5 years of hands-on experience with scripting languages such as Python or R, or comparable5 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.Ability to identify tasks which require automation and automate themA demonstrable understanding of networking/distributed computing environment conceptsMachine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalentData Visualization: Tableau, Power BI or similarAbility to prioritize and manage multiple tasks and projects at once without sacrificing qualityHighly collaborative work style with strong listening and communications skillsAbility to evaluate the big picture and solve business problems rather than focusing solely on metricsPreferred Requirements
Knowledge of Java, React, and SQL databasesKnowledge of Akka, Azure Cloud PAAS, Python, Kubernetes, Docker, GRPCExperience with Azure Cognitive Services for AI/MLBig Data Tools: Hadoop, Spark, SQL, and NoSQL Database experienceExperience with Azure Cognitive ServicesAcademic or work experience in a data-intensive field or industryExperience 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 fieldGM 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.
•This job may be eligible for relocation benefits.
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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.
Benefits OverviewThe goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.
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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