Data Scientist - AI executive

Position Overview

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.

Key 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.

Required Qualifications

• Minimum of 5 years of experience in Data Science, Machine Learning, or AI-related roles.
• Proven experience in designing, building, and deploying ML/AI models.
• Proficiency in Python and SQL.
• Solid understanding of machine learning techniques, statistics, and data modelling.
• Hands‑on experience with large‑scale data platforms and modern data ecosystems (e.g. Databricks, Palantir AIP or similar).
• Practical knowledge of Generative AI, Agentic AI concepts, and conversational AI (chat agents).

Please submit your CV in English.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.