Data Science Engineer Jobs in Detroit, MI (NOW HIRING)

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Texas or Warren Michigan 3 days per week (T-W-Th).

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.

• 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.

• 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.

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

#LI-CK1 Gm does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., H‑1B, TN, STEM, OPT, etc.) Now or in the future.

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

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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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities.

Applicants in the recruitment process may be required, where applicable, to successfully complete a role‑related assessment(s) and/or a pre‑employment screening prior to beginning employment.

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Our Company, Our Culture, How we hire Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure‑seekers and imaginative thought leaders to help us transform mobility. Explore our global locations We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (beamery.com). As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

To learn more, visit How we Hire.