Staff Data Scientist - AI Engineering & Productivity

The Staff Data Scientist role sits within General Motors’ AI Engineering and Productivity organization, focusing on AI and data science products that support reliable, secure, production-grade capabilities and measurable productivity improvements throughout the product lifecycle.

Key Responsibilities

• Define scientific direction and maintain methodological quality and operational robustness across the portfolio of products you oversee.
• Build and strengthen the scientist community by evaluating new methods and technologies, supporting cross-functional knowledge sharing, mentoring, conducting internal reviews, and creating reusable methods and frameworks.
• Deliver on schedule and within budget by managing risks and ensuring methodological and operational quality to drive significant, measurable business impact.
• Partner across functions including data engineering, delivery teams, software delivery, and other business units to lead product development and execution.
• Translate technical tradeoffs, risks, and opportunities into clear business decisions for stakeholders and leaders.

Required Qualifications

• 8+ years working with and 3+ years leading advanced analytics, AI/ML, and/or operations research initiatives.
• Thought leadership demonstrated through innovative methodologies and approaches to solving business problems.
• Deep expertise across multiple AI/ML and analytics domains, such as LLMs, forecasting, deep learning, operations research, and prescriptive and predictive methods, with a preferred focus on LLMs.
• Expertise in Python and other cloud-based data science platforms (Databricks preferred), along with proficiency in SQL.
• Experience with generative AI tools and platforms including Cursor, GitHub and/or Microsoft Copilot, Glean, Databricks Genie, and related tools.
• Ability to convert ambiguous, high-value business problems into tractable analytical strategies with measurable outcomes.
• Strong presentation and communication skills.
• M.S. degree in operations research, engineering, computer science, applied statistics, physics, or a related field. Equivalent additional experience may substitute for an advanced degree.

Technology and Tools

• Python
• SQL
• Databricks
• Databricks Genie
• Cursor
• GitHub
• Microsoft Copilot
• Glean

Preferred Qualifications

• 10+ years working with and 6+ years leading advanced analytics, AI/ML, and/or operations research initiatives.
• Ph.D. in operations research, engineering, computer science, applied statistics, physics, or a related field.
• Proven ability to lead multi-team member initiatives using novel methods that result in substantial business impact.
• Publications, conference talks, patents, other generated intellectual property, committed open-source work, or other external technical recognition.

Location and Work Schedule

Austin, TX (hybrid)

The selected candidate is expected to report to a specific location at least 3 times a week or at a frequency set by their manager.

Benefits

• Relocation benefits may be available for candidates who qualify under company policy.
• General Motors provides resources supporting well-being and career growth. Additional details are available through Total Rewards resources.

Additional Role Notes

• Immigration Sponsorship: General Motors does not provide immigration-related sponsorship for this role. Do not apply if you will need GM immigration sponsorship now or in the future, including direct company sponsorship or work authorization requiring written submission or other immigration support (for example, H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).
• Accommodations: General Motors offers opportunities to job seekers, including individuals with disabilities. For reasonable accommodation during the job search or application process, email or call 1-800-865-7580 and include a description of the requested accommodation, along with the job title and requisition number.