Staff Data Scientist

General Motors

Staff Data Scientist developing generative AI, machine learning, and predictive analytics solutions at General Motors. Hybrid role reporting to Warren or Austin three days weekly.

Posted 9/4/2026full-timeWarren • Missouri, Texas • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing advanced data science solutions, including Generative AI and machine learning models, while effectively communicating insights to diverse stakeholders. Proven ability to lead cross-functional teams and mentor junior data scientists in a collaborative environment.

Highest-signal resume keywords

Master's In Computer Science10+ Years Of Experience In Data ScienceProficiency In PythonExperience With Foundation ModelsPredictive And Prescriptive Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningGenerative AIPredictive AnalyticsPrescriptive AnalyticsTechnical ArchitectureData VisualizationComplex Problem SolvingHITL Workflow DesignRAG Architecture

Soft Skills

Collaborative Work StyleLeadershipMentoringCommunication

Tools & Technologies

Vector DatabasesSimilarity Search EnginesKiroAgent StrandsBedrock AgentCoreBedrock Knowledge Base

Industry Keywords

Data AnalyticsCross-Functional TeamsTechnical Debt ManagementSystem ScalabilityOperational Processes

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Discover actionable, high-impact data analytics needs and opportunities with cross-functional teams
Develop industry-leading analytics solutions across core business areas
Define technical architecture and design patterns
Ensure engineering best practices
Lead the design, development, and implementation of complex data science solutions
Own technical debt management and system scalability
Design, build, train, and deploy Generative AI and machine learning models
Apply advanced analytics to forecast trends, identify risks, and optimize operational processes
Create data visualizations to communicate findings and recommendations to technical and non-technical stakeholders
Mentor junior data scientists
Contribute to the growth and development of GM's data science community

Requirements

What you’ll need

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
Experience with RAG architecture and implementation
Experience with agentic framework design and multi-agent system orchestration
Experience with Human-in-the-loop (HITL) workflow design
Familiarity with Kiro, Agent Strands, Bedrock AgentCore, and Bedrock Knowledge Base
Proven expertise applying predictive and prescriptive analytics to real-world business problems
Ability to understand complex business processes and propose analytic strategies and solutions
Ability to create structured problem statements and conceptualize solutions from rough client specifications
Ability to communicate analyses, status, results, and recommendations to business management and executives
Evidence of transferring solutions to business stakeholders for successful adoption and value realization
Highly collaborative work style and ability to provide leadership to a cross-functional team while working under uncertainty
Must not require GM immigration sponsorship now or in the future

Benefits

Comp & perks

Benefits supporting well-being at work and at home
Total Rewards resources
Inclusive workplace and belonging-focused culture
Reasonable accommodations for applicants with disabilities