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Data scientist H/F

Data scientist H/F

Hybrid

Paris, France

Full Time

12-03-2025

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Job Specifications

Fondé en 1865 par Jules et Augustine Jaluzot, le groupe Printemps est un des leaders français emblématiques du commerce dans les secteurs de la mode, du luxe, de la beauté et du lifestyle. Il regroupe 3300 collaborateurs animés par leur sens du service et leur personnalité unique.
Composé de 4 enseignes, Printemps, Citadium, Place des Tendances et Made In Design, le groupe Printemps s'exprime au travers de ses 20 grands magasins Printemps en France, dont 4 Affiliés, 9 magasins Citadium et 4 sites e-commerce, printemps.com, citadium.com, Place des Tendances et Made In Design, et s'impose comme un acteur omnicanal incontournable distribuant plus de 3500 marques en France et à l'International.
Fort d'un patrimoine artistique et architectural exceptionnel, le Groupe ne cesse d'innover depuis sa création, et de se lancer de nouveaux défis comme récemment la production de contenus exclusifs avec son nouveau programme de Live Shopping ou son incursion réussie dans l'économie circulaire.

Vos missions :
Le Printemps recherche un Data Scientist pour développer des projets data-driven, à base de Machine Learning et d'IA. Vous contribuerez à l'implémentation de modèles prédictifs pour soutenir la prise de décision stratégique.
Au sein de la Direction des Opérations du groupe, le profil sera sous la responsabilité hiérarchique du Lead Data Science
Missions principales:
· Mener des analyses exploratoires afin de générer des insights clés et émettre des recommandations data-driven aux équipes métiers
· Piloter l'implémentation de cas d'usages ML & IA, de la phase d'idéation et de POC jusqu'au déploiement en production afin de répondre à des besoins métier concrets
· Restituer les analyses et modélisations à tout type d'audience (technique comme métier, opérationnel comme ComEx)
· Collaborer avec les équipes métier pour identifier de nouveaux cas d'usage data-driven et pérenniser la qualité des cas d'usage existants.
Stack technique:
· Outils de data science : Python, VSCode, Git, Docker, Snowpark
· Environnement cloud : Azure
· Entrepôt de données : Snowflake, dbt
· BI?: Microstrategy

Votre profil :
De formation d'école d'ingénieur ou master en modélisation statistique.
Expérience d'au moins 3 ans en data science appliquée à des problématiques métiers. Vous maitrisez l'utilisation des librairies Python pour l'analyse de données et l'élaboration de modèles ML (Pandas, scikit-learn, Mlflow, plotly...).
Vous maitrisez l'élaboration d'une approche à base de Machine Learning (feature engineering, évaluation de la performance des modèles, experiment tracking).
De plus, vous maitrisez le langage SQL afin d'interroger l'entrepôt de données pour vos analyses et modélisations.
Vous savez adopter de bonnes pratiques de software engineering (autonomie avec Git, création d'environnements virtuels, tests unitaires...).
Et, vous avez la capacité de comprendre et traduire des enjeux business complexes en solutions techniques concrètes.
Soft Skills:
Un fort esprit analytique, orienté vers les résultats, une excellente communication ainsi qu'une forte appétence pour comprendre les enjeux métiers
Force de proposition et curiosité intellectuelle pour améliorer les pratiques au sein de l'équipe projet.
Les plus :
Vous avez de l'expérience hands on avec dbt.
Vous avez de l'expérience hands-on sur Azure et/ou les services ML de Snowflake (Snowpark).
Vous avez de l'expérience hands-on sur un projet d'IA Générative (prompting, RAG...).
Vous avez de l'expérience dans le secteur retail ou e-commerce.

About the Company

Founded in 1865 by Jules Jaluzot, the Printemps group is one of the top French names in fashion, luxury and beauty, with 20 department stores in France, including 4 affiliated stores. The Group is also active in the lifestyle sector, with 9 Citadium stores, and has become a formidable player in fashion e-commerce through Printemps.com, launched in 2020, Citadium.com, Place des Tendance, the e-boutique acquired in 2013, and Made in Design, the European leader in online sales of designer furniture and decoration, acquired in 2... Know more

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