Staff Data Scientist - AI Engineering & Productivity

Job Description

• General Motors seeks a Staff Data Scientist in Austin, TX, supporting automotive engineering and Global Planning, Design, and Product IT; work mode is not specified.
• Lead AI/ML and data science products and deliver reliable, secure, scalable, production-grade AI tools that improve engineering workflows, decision-making, and product-lifecycle productivity.
• Required: 8+ years in advanced analytics, AI/ML, and/or operations research, including 3+ years leading initiatives; M.S. in operations research, engineering, computer science, applied statistics, physics, or a related field, or equivalent additional experience.
• Requires deep expertise in LLMs and other AI/ML domains, Python, SQL, cloud-based data science platforms with Databricks preferred, and generative AI tools including Cursor, GitHub, Microsoft Copilot, Glean, and Databricks Genie.
• Staff-level responsibilities include setting scientific direction, ensuring methodological and operational quality, mentoring scientists, managing risks and delivery, and communicating technical tradeoffs to stakeholders and leaders.