Data Scientist AI Execution

Stellantis • Auburn Hills, MI

1d

About The Position

The Data Scientist – AI Execution is responsible for designing, building, and iterating AI and machine‑learning solutions that power Purchasing data products and automation use cases. Working within Product Owner–led teams, this role enables data‑driven decisioning and intelligent automation while operating within established governance, process, and delivery frameworks. The role ensures that AI capabilities are robust, explainable, and scalable, without fragmenting product ownership or duplicating governance and delivery responsibilities.

Requirements

• Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or equivalent; Other technical degrees with business background also considered
• 10+ years of experience in the automotive industry or IT.
• Strong English verbal and written communication skills
• Ability to manage multiple services or initiatives with varying complexity
• Proficiency with Microsoft PowerPoint, Excel, and Word
• Ability to work effectively across global teams and organizational levels
• Proven ability to lead cross-functional teams and drive purchasing strategies in a fast-paced environment
• Strong negotiation, analytical, and problem-solving skills
• Highly proactive and visionary, with a track record of driving innovation and continuous improvement
• Ability to communicate effectively with international teams and suppliers

Responsibilities

• Design and implement AI/ML models aligned to Purchasing use cases (e.g., recommendations, scoring, prediction, classification)
• Partner with Product Owners to translate business needs into executable model logic and expected outcomes
• Collaborate with Data Engineers to ensure models are production‑ready, scalable, and performant
• Work closely with Data Analysts, Front‑End Developers, and UI/UX roles to integrate AI outputs into user‑facing experiences, including dashboards, chatbots, and AI‑assisted workflows
• Support multiple AI interaction patterns, including embedded intelligence, conversational interfaces, and emerging agentic and agent‑to‑agent solutions
• Validate model outcomes, explainability, and performance, supporting responsible AI practices
• Contribute to AI reuse, standardization, and patterns across Purchasing initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior