Senior Data Scientist

General MotorsWarren, MI
Hybrid

About The Position

We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative team at General Motors LLC. This role will be instrumental in leveraging advanced analytical techniques to drive data-driven decision-making and enhance various aspects of our automotive business.

Requirements

  • Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field.
  • 5+ years of progressive experience in data science or a related analytical role.
  • Strong proficiency in Python, Vector databases and similarity search engines.
  • Hands-on experience with foundation models (LLMs) for structured reasoning tasks, RAG (Retrieval-Augmented Generation) architecture and implementation, agentic framework design and multi-agent system orchestration, Human-in-the-loop (HITL) workflow design, etc.
  • Familiar with Kiro, Agent Strands, Bedrock AgentCore, Bedrock Knowledge Base.
  • Demonstrated ability to apply Predictive & Prescriptive Analytics to real-world business problems.
  • Excellent communication, presentation, and interpersonal skills.
  • Ability to work independently and as part of a collaborative team in a fast-paced environment.

Nice To Haves

  • Ph.D. in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a related quantitative field.
  • Automotive experience is a plus.

Responsibilities

  • Lead the design, development, and implementation of complex data science solutions to address business challenges.
  • Manage unstructured and multi-structured data
  • 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 data visualizations to effectively communicate findings and recommendations to technical and non-technical stakeholders.
  • Collaborate closely with engineering, product, and business teams to understand requirements and deliver impactful data science solutions.
  • Mentor junior data scientists and contribute to the growth and development of the data science community within GM.

Benefits

  • From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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