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About the Role
The AI Engineering and Productivity team is seeking a Staff Data Scientist to empower engineering teams with AI-driven tools that streamline workflows, accelerate decision-making, and enhance productivity across the product lifecycle. This role involves leading AI/ML and data science products and performing complex technical work to translate business challenges into scalable, production-grade AI solutions with measurable enterprise impact.
Responsibilities
- Shape scientific direction, ensuring methodological quality and operational robustness for assigned products.
- Grow technical capabilities within the scientist community through exploration, knowledge sharing, mentorship, and framework establishment.
- Drive product development, manage risks, and ensure quality to generate significant business impact.
- Collaborate cross-functionally with data engineering, delivery teams, software delivery, and other business units.
- Influence stakeholders and leaders by translating technical tradeoffs, risks, and opportunities into clear business decisions.
Requirements
- 8+ years of experience with advanced analytics, AI/ML, and/or operations research initiatives, with 3+ years in a leadership capacity.
- Demonstrated thought leadership in applying innovative methodologies to business problems.
- Deep expertise across multiple AI/ML and analytics domains (LLMs, forecasting, deep learning, operations research, prescriptive & predictive methods), with a preferred focus on LLMs.
- Proficiency in Python and cloud-based data science platforms (Databricks preferred), and SQL.
- Experience with generative AI tools and platforms (e.g., Cursor, GitHub Copilot, Glean, Databricks Genie).
- Ability to frame ambiguous business problems into 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, or equivalent experience.
Skills
- Advanced analytics
- AI/ML
- Operations research
- Python
- Cloud-based data science platforms
- Databricks
- SQL
- Generative AI tools
- LLMs
- Forecasting
- Deep learning
- Prescriptive methods
- Predictive methods
- Communication
- Presentation
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- Staff
- 8+ years
- 3+ years leading
- 10+ years preferred
- 6+ years leading preferred
Education Level
- M.S. degree in operations research, engineering, computer science, applied statistics, physics, or related field
- Ph.D. preferred
Benefits
- Relocation benefits are available for candidates who qualify under company policy.
About the Company
- 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.
Equal Opportunity
- General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging.
- All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
- General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580.