Data Scientist - Motorsport

Key Skills

Algorithms, Apache Hadoop, Azure, C++, Data science techniques, Docker, Effective communication skills, gRPC, Java Programming, Kubernetes-K8s, Machine learning techniques, NoSQL, PaaS, PowerBI, Python Programming, R Programming, React.js, Scala Programming, Scikit-learn, SPARK Programming, SparkML, SQL, Tableau, TensorFlow

Job Description

GM’s Motorsports Software 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 innovative interactions between 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

In this Data Science role, you will have the opportunity to work hands-on with our full stack development team and data engineers developing solutions for strategic & analytic tools. Development activities include driving solution design, development, and deployment of analytic models in support of race team analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on applying machine learning and artificial intelligence techniques to address specific needs of our data science, analytics, and GM key partner race teams. Additionally, you will drive development activities in accordance with appropriate methodologies to deliver tactical and strategic value each week to make a podium difference.

Responsibilities Include

• 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 Description

Required Qualifications

• At least 2 years of hands-on experience with scripting languages such as Python or R
• 2 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or another quantitative field
• Ability to identify tasks which require automation and automate them
• A demonstrable understanding of networking/distributed computing environment concepts
• Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent
• Data Visualization: Tableau, Power BI or similar
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
• Highly collaborative work style with strong listening and communications skills
• Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics

Preferred Requirements

• Knowledge of Java, React, and SQL databases
• Knowledge of Akka, Azure Cloud PAAS, Python, Kubernetes, Docker, GRPC
• Big Data Tools: Hadoop, Spark, SQL, and NoSQL Database experience
• Academic or work experience in a data-intensive field or industry
• Experience with Motorsport Racing history/background a plus!
• or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field

About GM

Our 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 Us 

We 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 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.

Equal Employment Opportunity Statements

The 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 Careers.Accommodations@GM.com 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.