Staff Data Scientist
AI summary of the role
Staff-level data scientist at GM leading design and deployment of GenAI/ML solutions across business units, with emphasis on RAG, agentic frameworks, and HITL workflows.
What you’ll do
- Lead design, development, and implementation of complex data science solutions, owning technical debt and scalability
- Design, build, train, and deploy Generative AI and machine learning models for predictive and prescriptive problems
- Define technical architecture and design patterns, ensuring engineering best practices
- Mentor junior data scientists and grow the data science community at GM
What you’ll bring
- Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or related quantitative field
- 10+ years progressive experience in data science or related analytical role
- Strong proficiency in Python, vector databases, and similarity search engines
- Hands-on experience with foundation models (LLMs), RAG architecture, agentic frameworks, multi-agent orchestration, and HITL workflow design
Technologies
Python · Vector databases · Similarity search engines · LLMs · RAG · Agentic frameworks · Multi-agent systems · HITL · Kiro · Agent Strands · Bedrock AgentCore · Bedrock Knowledge Base
About General Motors
Global automaker selling Chevrolet, GMC, Cadillac, and Buick vehicles, plus financing and connected services, while shifting into EVs and driver assistance.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Michigan or Austin Texas 3 days per week (T-W-Th) The Role We are seeking an expert-level professional to join our innovative team at General Motors LLC. As a Staff Data Scientist at General Motors LLC, you will leverage advanced analytical techniques to drive strategic decision-making and innovation across various business units. You will be instrumental in transforming complex data into actionable insights, directly impacting product development, operational efficiency, and customer experience. What You’ll Do Work with cross-functional teams to discover actionable, high-impact data analytics needs and opportunities and develop industry-leading analytics solutions in a variety of core business areas. Define technical architecture and design patterns and
More from the job description
Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Warren Michigan or Austin Texas 3 days per week (T-W-Th) The Role We are seeking an expert-level professional to join our innovative team at General Motors LLC. As a Staff Data Scientist at General Motors LLC, you will leverage advanced analytical techniques to drive strategic decision-making and innovation across various business units. You will be instrumental in transforming complex data into actionable insights, directly impacting product development, operational efficiency, and customer experience. What You’ll Do Work with cross-functional teams to discover actionable, high-impact data analytics needs and opportunities and develop industry-leading analytics solutions in a variety of core business areas. Define technical architecture and design patterns and ensure engineering best practices Lead the design, development, and implementation of complex data science solutions to address business challenges; and own technical debt management and system scalability Design, build, train, and deploy Generative AI and machine learning models to solve predictive and prescriptive problems across various domains. Utilize advanced analytics techniques to forecast trends, identify risks, and optimize operational processes. Create compelling and informative da [... source excerpt omitted ...] non-technical stakeholders. Mentor junior data scientists and contribute to the growth and development of the data science community within GM. Your Skills & Abilities (Required Qualifications) Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field. 10+ years of progressive experience in data science or a related analytical role. Strong proficiency in Python, Vector databases and similarity search engines. Deep understanding and hands-on experience with foundation models (LLMs) for structured reasoning tasks, RAG (Retrieval-Augmented Generation) architecture and implementation, agentic framework design and multi-ag [... source excerpt omitted ...] ategies and solutions that challenge and expand the thinking of the working team. Ability to create structured problem statements and conceptualize potential solutions from rough client specifications and information. Ability to communicate analyses, status, results, and recommendations to business management and executives in business terms. Evidence of being able to transfer solutions to business stakeholders for successful adoption and value realization. Highly collaborative work style, with ability to provide leadership to a cross-functional team and working well under uncertainties. What Will Give You a Competitive Edge (Preferred Qualifications) Ph.D. in Computer Sc
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