DATA SCIENTIST

  • NEW

Published on 06.02.2025

Parfums Christian Dior

Digital

Reference: PCD20946

  • Place of employment :

    Neuilly sur Seine, France

  • Contrat type :

    CDI

  • Required experience :

    Minimum 5 ans

  • Work mode :

    Plein Temps

Position

Parfums Christian Dior  is a world-renowned luxury beauty Maison, known for its timeless elegance and innovation. Our commitment to excellence extends to our data practices, and we are seeking a dynamic and experienced Data Scientist to join our Data Science Team.

 

The impact of data and AI (including Generative AI) is well-established at Dior - key achievements to date:

  • A cutting-edge technology stack (based mainly on GCP, Dataiku, and Python).
  • 20+ algorithms developed to serve 50+ use cases across Client Activation, Retail, Media or e-Commerce (e.g. hyper-targeted and/or personalized customer communications, product recommendations, automated repurchase cycles, anti-churn strategies, high-value prospect identification).
  • Several in-house Generative AI applications now in production.

 

About the Data Science Team

The Data Science team, established 3 years ago, is part of the Data & AI Office.

It consists of a Manager, three Data Scientists, and a Machine Learning Engineer.

 

Main objectives of the Data Science Team:

  • Capitalize on existing algorithms by optimizing them (testing new approaches, etc.) and monitoring them to prevent any drift.
  • Deliver new high-value Data Science use cases for new business areas (e.g. Supply Chain, Finance, etc.).
  • Develop new Generative/Agentic AI applications with significant business impact.
  • Scale use cases to a broader user base and markets.

To achieve these ambitious goals, the Data Science team is seeking a Data Scientist.

Job responsibilities

As a Data Scientist, you will play a central role in the development and optimization of Data Science solutions at Parfums Christian Dior. Your responsibilities include:

  • Exercising leadership in collaboration with stakeholders to understand business needs and define suitable data-driven solutions.
  • Identifying and framing complex Data Science and AI use cases in collaboration with multidisciplinary teams: business teams, LVMH Beauty Tech (IT), and LVMH (Group).
  • Defining, designing, and implementing Data Science and AI approaches for each use case based on advanced and innovative models.
  • Developing visualization interfaces to enhance model interaction and facilitate user understanding.
  • Establishing robust frameworks for testing and monitoring deployed models, ensuring their continuous effectiveness and performance.
  • Analyzing use case results and presenting them clearly to stakeholders, while documenting processes and analyses to ensure traceability.
  • Actively participating in the industrialization and scaling of models (MLOps), in collaboration with the Machine Learning Engineer.
  • Working with external partners to ensure solutions meet business needs.
  • Leading proactive technological watch to identify and integrate the latest advances and innovations in Data Science and AI.
  • Animating the Data Science teams at the market level (e.g., Japan), enabling knowledge sharing.

 

Profile

  • Graduate from a top Engineering School or holder of a PhD with a specialization in Artificial Intelligence.
  • 4 years of experience as a Data Scientist, ideally in the luxury, retail, or e-commerce sector.
  • Significant experience and interest in new technologies, particularly Generative and Agentic AI.
  • Excellent communication skills in French and English (working languages), a third language would be an asset.
  • Strong analytical, innovation, and problem-solving skills.
  • Ability to interact effectively with business and technical teams.

 

SKILLS

  • Expertise in Traditional AI (Supervised/Unsupervised Machine Learning, Natural Language Processing, Deep Learning, Time Series, Computer Vision, Graph Networks…).
  • Expertise in Generative & Agentic AI.
  • Advanced programming skills in Python and knowledge of best development practices.
  • Mastery of Python libraries (pandas, sklearn, langchain, langgraph, transformers/hugging face, streamlit, deepeval, ragas, tensorflow, pytorch, keras, seaborn, etc.).
  • Expertise in SQL and familiarity with Data Visualization tools (PowerBI, Looker Studio).
  • Significant experience on Cloud platforms, ideally Google Cloud Platform, a GCP certification is a plus.
  • Experience with collaborative development platforms (GitHub) and ticket management (Jira, Trello).

 

WHAT CAN WE OFFER YOU ?

  • A strategic and demanding role in a dynamic and innovative environment, with opportunities for learning and professional growth.
  • Projects at the forefront of current trends in Data Science and AI.
  • Rapid personal development through continuous support and multidisciplinary teams.
  • A competitive package and career advancement opportunities within the LVMH Group, with a global presence and continuous growth across 75 different Maisons.

PARFUMS CHRISTIAN DIOR
MAISON

Christian Dior described himself as a fashion and perfume designer. The House of Dior, founded in 1946, changed the face of ladies’ style forever when its New Look was unveiled in the halls of 30 Avenue Montaigne on February 12, 1947. The revolutionary look was accompanied by a fragrance, Miss Dior, the finishing touch designed to “leave a trail of desire in a woman’s wake”. This timeless perfume was the first fragrance created by a visionary brand which invented the concept of global beauty with its Rouge Dior and subsequent cosmetic lines.The current-day trustees of this legendary expertise – Francis Kurkdjian, Perfume Creation Director, and Peter Philips, Creative and Image Director for Dior Makeup – are the heirs to Christian Dior’s perfectionism. The worldwide renown of the House’s creations is partly down to its seductive muses, including Charlize Theron, Natalie Portman and Robert Pattinson.
Christian Dior © Parfums Christian Dior

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