描述
The Role
The Product Safety Data Analytics team is seeking highly motivated and qualified candidates for the position of Data Scientist Statistician Lead.
This is a great opportunity for an innovative data scientist/statistician and technical leader with extensive hands-on experience across the full end-to-end data science lifecycle. This technical leader role requires extensive programming skills and deep knowledge of statistical techniques to solve complex problems and provide guidance to a team of data scientists focused on advanced statistical analysis, predictive modeling, and data-driven decision support. You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on business impact through analytics.
In this role, you will be responsible for leading the development of scalable solutions to identify and analyze potential emerging vehicle safety issues. You will work with business partners to understand their challenges and needs, develop appropriate statistical analyses, lead proof-of-concept efforts for new analytical capabilities, and provide technical expertise and guidance to a team of data scientists.
At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.
Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.
What You’ll Do (Responsibilities):
- Develop and standardize best practices for continuously monitoring emerging safety issues for use in safety hazard monitoring
- Raise the bar on safety-investigation data-analytics support by continuously integrating effective analytical solutions and developing a feedback loop for tool and process improvements
- Correctly perform appropriate statistical data analyses to provide unbiased results
- Continuously drive efficiencies by implementing automation opportunities using a combination of custom software development and integration of off-the-shelf solutions
- Develop and refine statistical and machine learning models to solve complex business problems
- Prototype new analytical approaches and decision-support solutions to address business needs
- Develop workflow automation and scalable analytical tools to streamline business processes
- Identify long-term technical innovations while continuously improving execution efficiency
- Exhibit the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive
- Apply strong business acumen, highly specialized knowledge, and organizational expertise to establish and advance new data-analytics support areas
Your Skills & Abilities (Required Qualifications):
- 8+ years of work experience in applied statistics, machine learning, engineering, or data science, or 6+ years of work experience with Ph.D.
- M.S. in a quantitative discipline (Statistics, Mathematics, Econometrics, Operations Research, or other relevant degree)
- Strong background in varied statistical data analyses such as reliability analysis, analysis of variance, time series, categorical data analysis, multivariate analysis, and sampling design
- Strong background in anomaly detection, diagnostics and prognostics, and root cause analysis
- Demonstrated experience in large-scale data analytics
- Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, SQL
- Machine Learning & Advanced Analytics: supervised and unsupervised learning, natural language processing, decision trees, clustering, anomaly detection, and predictive modeling
- Data Engineering: Databricks, SQL, data pipelines, data preprocessing, and feature engineering
- Ability to effectively communicate results and methodologies; must be comfortable presenting to executive leadership
- Strong work ethic, drive for results, and the ability to work in an ambiguous workspace
- Understanding of vehicle safety technologies including design intent, function, and intended performance in the field
What Will Give You a Competitive Edge (Preferred Qualifications):
- Ph.D. in a quantitative discipline (Statistics, Mathematics, Econometrics, Operations Research, or other relevant degree)
- 10+ years of work experience in applied statistics, machine learning, engineering, data science, or a related field
- Deep knowledge of GM’s Data Ecosystem
- Deep knowledge of GM’s Cloud Technology Stack for Data Science
- SME in applied reliability/survival analysis
- Experience in vehicle development or validation of safety-related systems or components
- Experience taking advanced analytics solutions from business problem statement through deployment and ongoing optimization
- Experience developing and deploying production-grade statistical or machine learning solutions that have delivered significant business value
Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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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.