Senior Data Scientist: Generative AI & Predictive Analytics

Jobtailor; Missouri; On-site; USD 180,000 - 230,000; Full time

Job summary

General Motors seeks a Lead Data Scientist to architect and deliver complex data science solutions across automotive domains. You will design, train, and deploy generative AI and ML models, manage unstructured data, and guide cross-functional teams.

You will mentor junior data scientists, communicate findings with stakeholders, and help grow GM's data science community. Strong Python, vector DBs, LLMs, RAG, and agent frameworks are essential; automotive experience is a plus.

Qualifications

• Master's in a quantitative field is required or closely related.
• 5+ years of progressive data science or analytics experience.
• Strong Python, vector databases, and similarity search skills.
• Hands-on with foundation models (LLMs) for reasoning tasks.
• Experience with RAG architecture and agentic design.
• Human-in-the-loop workflow design experience and HITL projects.

Responsibilities

• Lead the design, development, and implementation of complex data science solutions.
• Manage unstructured and multi-structured data.
• Design, build, train, and deploy Generative AI and ML models.
• Solve predictive and prescriptive problems across domains.
• Forecast trends, identify risks, and optimize operations via analytics.
• Create data visualizations to communicate findings.
• Collaborate with engineering, product, and business teams.
• Mentor junior data scientists and grow the data science community.

Skills

Python Proficiency

Vector Databases

Similarity Search Engines

Generative AI Model Development

Predictive Analytics

Prescriptive Analytics

Mentoring Junior Data Scientists

Communication Skills

Team Collaboration

Independent Work

Education

Master's Degree in a quantitative field

Ph.D. preferred

Tools

Kiro

Agent Strands

Bedrock AgentCore

Bedrock Knowledge Base

Job description

General Motors seeks a Lead Data Scientist to architect and deliver complex data science solutions across automotive domains. You will design, train, and deploy generative AI and ML models, manage unstructured data, and guide cross-functional teams.

You will mentor junior data scientists, communicate findings with stakeholders, and help grow GM's data science community. Strong Python, vector DBs, LLMs, RAG, and agent frameworks are essential; automotive experience is a plus.