AI Execution Data Scientist for Purchasing

Stellantis

Poissy

Sur place

EUR 70 000 - 110 000

Plein temps

Il y a 2 jours
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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 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.

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