Data Scientist Statistician Lead - Product Safety Data Analytics

Job Description

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 in the full end-to-end data science lifecycle for artificial intelligence and machine learning. This technical leader role requires extensive programming skills and knowledge of statistical techniques to both solve complex problems and provide guidance to a team of data scientists who are focused on advanced statistical analysis and AI/ML. You will be part of a highly collaborative team that values growth, creativity, and a relentless focus on data-driven business transformation.

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 be responsible for working with our business partners to understand their challenges and needs, develop appropriate statistical analysis, lead the development of proof-of-concept solutions for new generative AI capabilities, and provide technical expertise and guidance to a team of data scientists.

What You’ll Do (Responsibilities)

• 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 process
• Identify long-term technical innovations while continuously improving execution efficiency
• Exhibiting 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

Your Skills & Abilities (Required Qualifications)

• 8 + years of work experience in applied statistics, AI/ML, engineering, data science, or a 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

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, AI/ML, 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
• Expertise with NLP solutions from business problem statement to deployment and ongoing optimization
• Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value
• Experience with generative AI solutions that you have develo