Staff Data Scientist - GM Motorsports

描述

The Role

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.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse [email protected] ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.