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Staff Data Scientist - GM Motorsports

  • 위치
    • Austin, Texas
    • Concord, North Carolina
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202603969

설명

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.)

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

이 직무는 리로케이션 혜택을 받을 수 있습니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.