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CDI - Data Scientist Confirmé H/F Job Opening In Paris – Now Hiring Rexel Dev


Job description

Description du poste

Description du poste

En tant que Data Scientist confirmé au sein de l’équipe « AI Solutions & Data Science », vous jouerez un rôle clé dans l'analyse, la modélisation et la traduction des problématiques business en solutions IA et Gen AI.

Vous travaillerez en étroite collaboration avec diverses équipes métiers (Commerce, Pricing, Marketing, Digital, Supply Chain et IT) pour répondre aux besoins de l'entreprise.

Missions

  • Analyse des besoins : Comprendre et analyser les besoins des clients internes, valider les enjeux avec vos partenaires (ROI) et évaluer la faisabilité (qualité / coût / délais).
  • Mise en œuvre des solutions : Utiliser les méthodes et techniques nécessaires pour répondre aux problématiques au cours du projet avec les équipes métiers :
    • Sélection, analyse, qualification et acquisition des données
    • Analyses exploratoires, descriptives, prédictives (ML/DL) et prescriptives
    • Interaction avec des APIs de type OpenAI pour des solutions d’IA Générative
  • Gestion de projet : Intervenir sur l’ensemble du processus selon la maturité du sujet : phases exploratoires, prototypage, pilote terrain, industrialisation, déploiement, run, amélioration continue.
  • Contribution analytique : Contribuer à une solution analytique de bout en bout avec une orientation résultat :
    • Maîtrise des modèles ML/DL/Gen AI de la solution
    • Maîtrise des autres modules nécessaires à la solution (analyses statistiques, filtres de priorisation business, A/B test, mesure de la performance de la solution)
    • Intégration avec les autres systèmes d’information Rexel (CRM, ERP, webshop, RexelGPT, …)
    • Identification et priorisation des leviers d’amélioration
    • Qualité du code, procédures de tests et documentation
    • Mesure de la performance de la solution (KPI data science et business)
  • Communication : Communiquer sur l'avancement et les résultats des projets en adaptant votre démarche et votre discours de manière proactive.

Qualifications

Profil recherché

  • Formation : Niveau ingénieur ou Master 2 en Data Science, ML/DL/Gen AI, Statistique, Recherche opérationnelle
  • Expérience : Entre 2 et 4 ans d’expérience.

Compétences Techniques

  • Algorithmes de machine learning (supervisés et non supervisés) et deep learning.
  • Approches d’IA Générative (LLMs, RAG, Agentic AI etc.)
  • Optimisation et Recherche opérationnelle
  • Programmation scientifique en Python (scikit-learn, TensorFlow, etc.).
  • Bases de données et langage SQL
  • Visualisation de données.
  • Connaissances en Flask/FastAPI.
  • Pipeline CI / CD + Git.
  • Familiarité avec un environnement cloud, par exemple Azure, GCP ou AWS.

Compétences Personnelles

  • Capacité à analyser, modéliser et traduire les problématiques business pour une collaboration efficace avec les équipes métiers et techniques.
  • Passion pour la recherche de solutions adaptées et sens pratique.
  • Rigueur et capacité à produire un travail et un code propre et bien structuré.
  • Motivation, organisation, autonomie et bonnes capacités de communication.
  • Anglais courant pour échanger avec les différentes entités internationales.


Informations supplémentaires

Rexel propose un package de rémunération attractif avec un salaire de base sur 13 mois accompagné d'un variable individuel sur objectifs.

De plus, l'entreprise bénéficie d'un accord d'intéressement et propose des avantages intéressants (mutuelle, prévoyance, frais de transport et de restauration etc).

N'hésitez pas à nous contacter pour en apprendre plus ! 

Chez Rexel, nous pensons que notre succès dépend de vous.

Nous vous aidons à développer vos connaissances et à explorer de nouveaux domaines au sein de l'entreprise et dans le cadre de votre développement de carrière.

Nous sommes conscients de notre responsabilité sociale et nous nous engageons en faveur de l'égalité et de la diversité dans notre environnement de travail.

Ensemble, nous pouvons créer un avenir meilleur.

Postulez maintenant et profitez de cette opportunité de croissance et de développement.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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