Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
General Motors

Staff Data Scientist – Motorsports

General Motors

Staff Data Scientist responsible for driving data science initiatives at GM Motorsports. Leading analytics and ML solutions to enhance racing performance and operational insights.

Posted 5/10/2026full-timeConcord • Missouri, North Carolina, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
CloudNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Drive the design, delivery, and adoption of advanced analytics and machine learning solutions.
  • Define and evolve the data science roadmap for GM Motorsports.
  • Architect end-to-end ML and analytical solutions.
  • Lead high-visibility projects from problem framing through delivery.
  • Partner with race engineers and program managers to identify AI/ML opportunities.
  • Provide technical mentorship and code/analysis review for junior and senior data scientists.
  • Communicate complex analytical concepts to non-technical stakeholders.
  • Champion data quality, governance, and responsible AI practices.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, Applied Mathematics, or a related quantitative field; equivalent experience considered.
  • 7+ years of hands-on experience in data science/machine learning roles.
  • Demonstrated experience in complex, high-stakes domains.
  • Expert-level proficiency in Python and core data/ML libraries (NumPy, pandas, scikit-learn, PyTorch and/or TensorFlow).
  • Strong foundation in statistical modeling, machine learning, and experimental design.
  • Experience building and deploying production ML systems.
  • Proficiency with SQL and working with large datasets.
  • Familiarity with cloud platforms and modern data stacks.
  • Experience with time-series telemetry, simulation data, race strategy, or vehicle performance analysis is strongly preferred.

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data sciencemachine learningPythonNumPypandasscikit-learnPyTorchTensorFlowstatistical modelingSQL
Soft Skills
technical mentorshipcommunicationproblem framingproject leadershipcollaboration