Data Science Manager - Motorsports

About the position Responsibilities • Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration, continuous learning, and professional growth. • Drive the development of data-driven strategies and solutions that address complex business problems. • Cultivate strong relationships with cross-functional teams to ensure smooth execution of projects and the effective delivery of data solutions. • Lead the application of advanced machine learning, AI, and predictive analytics techniques to drive race team performance. • Provide strategic direction in the development and optimization of predictive models, ensuring they meet race team needs and align with overall business objectives. • Ensure that complex data insights are clearly communicated to both technical and non-technical stakeholders through effective data visualization techniques. Requirements • A degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. • Deep expertise in data science methodologies, including machine learning, statistical modeling, and data visualization. • Proficient in programming languages such as Python, R, or similar, with experience using machine learning libraries (e.g., TensorFlow, Scikit-Learn) and data visualization tools (e.g., Tableau, Power BI). • Exceptional communication skills, with the ability to present technical findings to both technical and non-technical audiences. • Strong analytical and critical thinking skills, with a proven ability to solve complex problems and make data-driven decisions under pressure. • Ability to manage a team of data scientists, analysts, or engineers, with a focus on delivering data-driven results and fostering a collaborative, innovative team culture. Nice-to-haves • Advanced degree (Masters or PhD) • Experience working in a high-performance or real-time decision-making environment • Previous experience in motorsports, while not mandatory, a strong understanding of motorsports and race strategy will be highly valued. • Experience with cloud platforms like Azure, AWS, or Google Cloud, and big data tools like Hadoop and Spark. • Familiarity with software development practices, version control (e.g., Git), and containerization tools like Docker or Kubernetes. 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.

Qualifications

• A degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

• Deep expertise in data science methodologies, including machine learning, statistical modeling, and data visualization

• Proficient in programming languages such as Python, R, or similar, with experience using machine learning libraries (e.g., TensorFlow, Scikit-Learn) and data visualization tools (e.g., Tableau, Power BI)

• Exceptional communication skills, with the ability to present technical findings to both technical and non-technical audiences

• Strong analytical and critical thinking skills, with a proven ability to solve complex problems and make data-driven decisions under pressure

• Ability to manage a team of data scientists, analysts, or engineers, with a focus on delivering data-driven results and fostering a collaborative, innovative team culture

• Advanced degree (Masters or PhD)

• Experience working in a high-performance or real-time decision-making environment

• Previous experience in motorsports, while not mandatory, a strong understanding of motorsports and race strategy will be highly valued

• Experience with cloud platforms like Azure, AWS, or Google Cloud, and big data tools like Hadoop and Spark

• Familiarity with software development practices, version control (e.g., Git), and containerization tools like Docker or Kubernetes

Responsibilities

• Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration, continuous learning, and professional growth

• Drive the development of data-driven strategies and solutions that address complex business problems

• Cultivate strong relationships with cross-functional teams to ensure smooth execution of projects and the effective delivery of data solutions

• Lead the application of advanced machine learning, AI, and predictive analytics techniques to drive race team performance

• Provide strategic direction in the development and optimization of predictive models, ensuring they meet race team needs and align with overall business objectives

• Ensure that complex data insights are clearly communicated to both technical and non-technical stakeholders through effective data visualization techniques