Senior Data Scientist - Motorsports - Artificial Intelligence and Machine Learning

General Motors - Concord, NH

Full-time - Mid Level

Concord, NH

Transportation Equipment Manufacturing

About the position

The Senior Data Scientist position at GM Motorsports focuses on leveraging artificial intelligence and machine learning to enhance data-driven decision-making in the motorsports domain. This hybrid role involves collaborating with cross-functional teams to develop and implement advanced analytics solutions that support race teams across various racing series, including NASCAR and IndyCar. The position offers a unique opportunity to contribute to high-impact projects that directly influence racing performance and strategy.

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.
• Utilize data science and modeling techniques to drive data-driven decision-making and solve complex business problems.
• Create breakthrough solutions by 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

• Bachelor's 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.
• Experience with machine learning libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent.
• Proficiency in data visualization tools such as 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 communication 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.
• Familiarity with 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!
• PhD. or Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field.

Benefits

• 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.