Staff Data Scientist - AI Productivity & Engineering

Aimlroles; United States; Hybrid; USD 170,000 - 230,000; Full time

Job summary

General Motors is seeking a Staff Data Scientist to lead AI/ML products within the AI Engineering and Productivity team. You will translate complex engineering challenges into scalable, production-grade AI solutions that deliver measurable enterprise impact.

The role emphasizes collaboration across data engineering, delivery, software teams, and business units, with a focus on methodological rigor, leadership, and strong communication. Hybrid work arrangement and relocation benefits may apply.

Qualifications

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

Responsibilities

• Shape scientific direction, and ensure methodological quality and operational robustness used across the suite of products you are responsible for.
• Grow the technical capabilities of the scientist community within the AI Engineering and Productivity organization through exploration of new methods and technologies, cross-functional knowledge sharing, mentorship, internal reviews, and establishment of reusable methods and frameworks.
• Drive results on time and within budget, managing risks, and ensuring methodological and operational quality across products you oversee to generate significant and measurable business impact.
• Work cross-functionally across data engineering, delivery teams, software delivery, other business units and beyond to drive product development, management and results; and
• Influence stakeholders and leaders by translating technical tradeoffs, risks and opportunities into clear business decisions.

Skills

Analytics leadership

AI/ML

LLMs

Forecasting

Deep learning

Operations research

Python

Databricks

SQL

GitHub

Copilot

Education

MS in OR/Engineering/CS

Tools

Databricks Genie

Cursor

GitHub

Glean

Databricks

Job description

General Motors is seeking a Staff Data Scientist to lead AI/ML products within the AI Engineering and Productivity team. You will translate complex engineering challenges into scalable, production-grade AI solutions that deliver measurable enterprise impact.

The role emphasizes collaboration across data engineering, delivery, software teams, and business units, with a focus on methodological rigor, leadership, and strong communication. Hybrid work arrangement and relocation benefits may apply.