Senior Data Scientist - Motorsports - Artificial Intelligence and Machine Learning

General Motors - Austin, TX

Full-time - Mid Level

Austin, TX

Transportation Equipment Manufacturing

About the position

The Data Scientist position at GM Motorsports focuses on leveraging data science and analytics to enhance performance in various racing series, including NASCAR, IndyCar, and IMSA. The role involves collaborating with a cross-functional team to develop and implement innovative data-driven solutions that support race teams and contribute to strategic decision-making. This hybrid position allows for flexible work arrangements, requiring on-site presence up to three times a week, with opportunities for remote support during race weekends.

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.

Requirements

• Bachelors degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or another quantitative field.
• At least 5 years of hands-on experience with scripting languages such as Python or R, or comparable 5 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• 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.

Nice-to-haves

• Knowledge of Java, React, and SQL databases.
• Knowledge of Akka, Azure Cloud PAAS, Python, Kubernetes, Docker, GRPC.
• Experience with Azure Cognitive Services for AI/ML.
• Big Data Tools: Hadoop, Spark, SQL, and NoSQL Database experience.
• Experience with Azure Cognitive Services.
• Academic or work experience in a data-intensive field or industry.
• 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.

Benefits

• Relocation benefits may be available.