General Motors
Data Scientist
Warren, Michigan, United States of America +1 · Hybrid · Full-time · Posted Oct 14, 2026
- Location
- Warren, Michigan, United States of America
Austin, Texas, United States of America - Experience
- 3+ years; equivalent additional experience may substitute for the advanced degree.
- Education
- M.S. or Ph.D. in operations research, engineering, computer science, applied statistics, economics, physics, or related field; equivalent additional experience may substitute for advanced degree.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants needing GM immigration sponsorship now or in the future should not apply.
About the job
Leads AI, machine learning, and data science workstreams for a Sales, Brand & Dealer product, from analytical methods through delivery, while helping shape product decisions and communicate business impact.
What you'll do
- Lead assigned AI, machine learning, or data science workstreams from methodology through delivery.
- Develop robust analytical code and contribute to product methods, decisions, and technical capabilities.
- Collaborate across technical and business teams, communicate findings and tradeoffs, and deliver results.
What they ask for
- 3+ years in advanced analytics, AI/ML, or operations research initiatives, developing and integrating analytical methods into software products.
- Experience across multiple AI/ML and analytics domains, such as LLMs, forecasting, deep learning, and operations research.
- Expertise in Python and cloud-based data science platforms, and proficiency in SQL.
- Strong presentation and communication skills; M.S. or Ph.D. in a related field, or equivalent additional experience substituting for the advanced degree.
Nice to have
- Databricks; experience with generative AI tools and platforms such as Cursor, GitHub, Microsoft Copilot, Glean, or Databricks Genie.
- Experience taking AI/data science products from concept to production and influencing product decisions; external technical recognition is also preferred.
Tools
Python, Databricks, SQL, Cursor, GitHub, Microsoft Copilot, Glean, Databricks Genie
AI focus
Leads and develops AI/ML and data science product workstreams, including work involving generative AI, LLMs, forecasting, deep learning, and operations research.
Model-written summary · the original posting is authoritative