Data Scientist - AI executive

Stellantis; Poissy; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Stellantis in Poissy, France seeks a Data Scientist - AI Execution to design, build, and iteratively improve AI/ML solutions powering Purchasing data products and automation.

You will collaborate with Product Owners, Data Engineers, Analysts, and Front-End/UI roles to deliver robust, scalable AI capable of insightful dashboards and conversational interfaces while conforming to governance.

Qualifications

• Minimum of 5 years of experience in Data Science, ML, or AI-related roles.
• Proficiency in Python and SQL.
• Hands-on experience designing, building and deploying ML/AI models.
• Strong understanding of machine learning techniques, statistics and data modelling.
• Practical knowledge of Generative AI, Agentic AI concepts and conversational AI.

Responsabilités

• 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 outcomes.
• Collaborate with Data Engineers to ensure models are production-ready, scalable, and performant.
• Work with Analysts, Front-End Developers, and UI/UX roles to integrate AI outputs into dashboards and AI-assisted workflows.
• Support multiple AI interaction patterns, including embedded intelligence and conversational interfaces.
• Validate model outcomes, explainability and performance, ensuring responsible AI practices.
• Contribute to AI reuse, standardization and patterns across Purchasing initiatives.

Connaissances

Data Science

ML/AI design

Python

SQL

Statistical modelling

Generative AI

Big data platforms

Outils

Databricks

Palantir AIP

Description du poste

Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable, and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

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).

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.