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Lead Data Scientist, Product Safety Data Analytics
General MotorsLead Data Scientist supporting vehicle safety analytics at GM. Innovating AI solutions and driving data-driven business transformation within a collaborative team.
Tech Stack
Tools & technologiesJavaPySparkPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Develop and standardize best practices of continuously monitoring emerging safety issues for use in safety hazard monitoring
- Raise the bar on safety‑investigation data‑analytics support by continuously integrating the latest solutions and developing a feedback loop for tool and process improvements
- Correctly perform the appropriate statistical data analysis 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
- Train new machine learning models to solve complex business problems
- Prototype new AI solutions, including Generative AI, to solve business problems
- Develop new Agentic AI solutions 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 as well as organizational expertise to establish and advance new data-analytics support areas
Requirements
What you’ll need- 8+ years of work experience in applied statistics, AI/ML, engineering, data science, or related field
- 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, sampling design
- Strong background in anomaly detection, diagnostics and prognostics, root cause analysis
- Demonstrated experience in large-scale data analytics
- Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
- Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Reinforcement Learning, Natural Language Processing, Decision Trees, Clustering
- Data Engineering: Databricks, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
- Ability to effectively communicate results and methodologies.
- Must be comfortable presenting to executive leadership
- Must have strong work ethic and 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.
Benefits
Comp & perks- Company vehicle evaluation program
- Competitive salary
- Comprehensive healthcare benefits
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
applied statisticsdata sciencemachine learningstatistical data analysisanomaly detectionlarge-scale data analyticsdata preprocessingfeature engineeringprogramming in Pythonprogramming in R
Soft Skills
communicationbusiness acumenorganizational expertisepresentation skillsability to work in ambiguitydrive for resultsdata-driven storytellingtraining and mentoringproblem-solvingstakeholder engagement