Staff Data Scientist - GM Motorsports in Concord
Staff Data Scientist - GM Motorsports

Staff Data Scientist - GM Motorsports in Concord

Concord Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
General Motors

At a Glance

  • Tasks: Lead advanced analytics and machine learning solutions in the exciting world of motorsports.
  • Company: Join GM, a leader in automotive innovation and sustainability.
  • Benefits: Enjoy competitive pay, hybrid work options, and a focus on your well-being.
  • Why this job: Make a real impact in racing by turning data into winning strategies.
  • Qualifications: 7+ years in data science with strong Python and ML skills required.
  • Other info: Collaborate with top engineers and drive change in a dynamic environment.

The predicted salary is between 70000 - 90000 £ per year.

The Staff Data Scientist is a senior technical leader responsible for driving the design, delivery, and adoption of advanced analytics and machine learning solutions across NASCAR, IndyCar, and other GM racing programs. This role sits within Motorsports Product and Machine Intelligence and partners closely with race engineering, vehicle performance, strategy, and IT to turn data into competitive advantage on and off the track. You will set technical direction for data science in motorsports, mentor junior and senior data scientists, and own high-impact initiatives from concept through production and operationalization.

What You’ll Do

  • Technical leadership
    • Define and evolve the data science roadmap for GM Motorsports in alignment with program and competition priorities.
    • Architect end-to-end ML and analytical solutions (from data ingestion and feature engineering to model deployment and performance monitoring).
    • Establish and enforce best practices in experimental design, model development, validation, and MLOps within the team.
  • Project ownership & delivery
    • Lead high-visibility projects (e.g., race strategy models, performance prediction, simulation, telemetry analytics, audio/vision-based models) from problem framing through delivery.
    • Translate ambiguous racing and business questions into clear problem statements, analytical plans, and measurable success criteria.
    • Own technical decision-making, including method selection, trade-offs, and risk mitigation.
  • Motorsports domain impact
    • Partner with race engineers, competition leaders, and program managers to identify the most valuable AI/ML opportunities.
    • Build models and tools that directly support race weekend decision-making, vehicle development, and long-term performance analysis.
    • Ensure solutions are usable in real workflows: robust, interpretable where needed, and integrated into existing tools and systems.
  • Team development & mentorship
    • Provide technical mentorship and code/analysis review for junior and senior data scientists.
    • Raise the bar on engineering rigor (testing, reproducibility, documentation, model monitoring).
    • Help define career paths, skill expectations, and standards for the data science discipline within GM Motorsports.
  • Collaboration & communication
    • Communicate complex analytical concepts and model behavior to non-technical stakeholders in clear, actionable terms.
    • Work cross-functionally with data engineering, software engineering, IT, and program leadership to deliver integrated solutions.
    • Contribute to a culture of experimentation, learning, and evidence-based decisions.
  • Standards & governance
    • Champion data quality, governance, and responsible AI practices in model development and deployment.
    • Contribute to and help maintain shared libraries, templates, and tooling that accelerate future projects.
    • Support documentation and knowledge-sharing across teams and programs.

Your Skills & Abilities (Required Qualifications)

  • Education & experience
    • Bachelor's degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, Applied Mathematics, or a related quantitative field; equivalent experience considered.
    • Typically 7+ years of hands-on experience in data science / machine learning roles, with significant experience leading projects or initiatives.
    • Demonstrated experience in complex, high-stakes domains (e.g., motorsports, automotive, aerospace, manufacturing, or similar).
  • Technical skills
    • Expert-level proficiency in Python and core data/ML libraries (e.g., 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 (CI/CD for ML, model serving, monitoring).
    • Proficiency with SQL and working with large, complex datasets (telemetry, time series, logs, sensor data, etc.).
    • Familiarity with cloud platforms and modern data stacks (e.g., Azure, Kubernetes, feature stores, ML pipelines).
  • Motorsports / automotive
    • Experience with time-series telemetry, simulation data, race strategy, or vehicle performance analysis is strongly preferred.
    • Ability to quickly learn and reason about race engineering concepts and constraints (e.g., setup, tire strategy, fuel, aero, regulations).
  • Soft skills
    • Proven ability to lead without authority, influence technical direction, and drive outcomes across teams.
    • Strong written and verbal communication skills, including the ability to present to engineering leaders and executives.
    • Track record of mentoring and developing other data scientists.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Master’s or Ph.D. in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, Applied Mathematics, or a related quantitative field; equivalent experience considered.
  • Prior experience in motorsports (NASCAR, IndyCar, F1, WEC, etc.) or high-performance automotive programs.
  • Experience with audio processing, computer vision, or multimodal modeling applied to noisy real-world data.
  • Hands-on experience with vector search, embeddings, and retrieval-augmented systems.
  • Experience designing real-time or near-real-time analytics/ML systems supporting operational decisions.
  • Contributions to internal tooling, open-source projects, or technical publications.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.

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 believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview: From day one, we’re looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

Non-Discrimination and Equal Employment Opportunities: General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.

Accommodations: General Motors 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 or call us at 1-800-865-7580.

Staff Data Scientist - GM Motorsports in Concord employer: General Motors

At General Motors, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to drive meaningful change in the world of motorsports. As a Staff Data Scientist, you will not only lead cutting-edge analytics projects but also have the opportunity to mentor fellow data scientists, ensuring your professional growth while contributing to our vision of Zero Crashes, Zero Emissions, and Zero Congestion. With a commitment to inclusion and a focus on employee well-being, GM offers a supportive environment where your contributions directly impact the future of racing and automotive technology.
General Motors

Contact Detail:

General Motors Recruiting Team

Careers.Accommodations@GM.com

StudySmarter Expert Advice 🤫

We think this is how you could land Staff Data Scientist - GM Motorsports in Concord

✨Tip Number 1

Network like a pro! Reach out to folks in the motorsports and data science communities. Attend events, join online forums, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and analytics in motorsports. This will give potential employers a taste of what you can do and how you can contribute to their team.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your past projects and how they relate to the role. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at GM Motorsports. So, get that application in and let’s make some racing magic happen!

We think you need these skills to ace Staff Data Scientist - GM Motorsports in Concord

Technical Leadership
Machine Learning
Data Science Roadmap Development
End-to-End ML Solution Architecture
Experimental Design
Model Development and Validation
MLOps
Project Management
Statistical Modelling
Python Programming
SQL Proficiency
Telemetry Data Analysis
Communication Skills
Mentorship
Collaboration

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data science and machine learning, especially in high-stakes domains like motorsports. We want to see how your skills align with the role, so don’t hold back!

Showcase Your Projects: Include specific examples of projects you've led or contributed to that demonstrate your technical leadership and problem-solving skills. We love seeing how you’ve turned complex data into actionable insights, especially in racing contexts.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. Remember, we’re looking for clarity in communication, just like you’d need in a cross-functional team.

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at GM Motorsports.

How to prepare for a job interview at General Motors

✨Know Your Data Science Stuff

Make sure you brush up on your Python and core data/ML libraries like NumPy and pandas. Be ready to discuss your experience with building and deploying production ML systems, as well as your understanding of statistical modelling and experimental design.

✨Understand Motorsports Inside Out

Familiarise yourself with the specifics of motorsports, especially if you have experience in NASCAR or IndyCar. Knowing about race strategy, telemetry, and vehicle performance will give you an edge and show that you're genuinely interested in the role.

✨Prepare for Technical Leadership Questions

Since this role involves mentoring and leading projects, be prepared to share examples of how you've influenced technical direction and driven outcomes in previous roles. Think about specific projects where you took ownership and how you communicated complex concepts to non-technical stakeholders.

✨Showcase Your Collaboration Skills

This position requires working closely with various teams, so be ready to discuss your experience in cross-functional collaboration. Highlight instances where you’ve successfully partnered with engineers or program managers to deliver integrated solutions.

Staff Data Scientist - GM Motorsports in Concord
General Motors
Location: Concord

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>