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Information Systems
Full - Time


Within the Beauty Tech Factory, the Tech Accelerator has to support and accelerate the transformation of L’Oréal on new technologies: Data Science & AI, IoT, Blockchain, UX / UI...

You will join the Data Science team for Supply chain use cases, whose defines the Group' Data Science & AI standards and implement them by delivering strategic and high priority projects for the group.

Its 4 main missions are:

      Delivery :

  • Lead the Data Science development of Supply chain projects and develop scalable tech assets, starting with Demand Sensing project

  • Enrich a portfolio of data & analytics micro services at a global level

    Standards :

  • Stimulate IT transformation by applying standards in terms of methodology, code, MLOps…

  • Manage an ecosystem of data science & tech partners and ensure high level of expertise

    Data Culture :

  • Build, lead and orchestrate the global data science community

  • Scale and share technical assets

    Tech Academy :

  • Ensure consistency of HR strategy through strong support for recruitments & academic partnerships

  • Contribute to learning journey definition and contents


You will evolve in a favorable environment:

  • Development of projects with many experts in their respective fields: Data Science, AI, Agility, Business experts, UX/UI, Data engineering, Big Data and Cloud architecture ;

  • Diversity of Data (internal / external, structured or not) and missions (marketing, supply, retail, ...) ;

  • International environment


As a Lead Data Scientist you will use Machine learning approaches to develop Data Science and AI solutions.

You will define and implement guidelines and best practices within Delivery teams, in collaboration with IT and business on strategic use cases.

You will lead the design and development of Data Science solutions for strategic business cases with support of external Tech partners, and ensure the consistency of Tech guidelines within these projects.

Your mission will be to develop a Demand Sensing solution at group level with the main objectives bellow:

Ø  Increase demand forecast accuracy by developing models, with huge code quality, based on time series, internal and external features ;

Ø  Coach and mentor L’Oréal Data Scientists and external Tech partners in an agile delivery squad ;

Ø  Ensure consistency of Tech Accelerator standards within the squad ;



Tech skills :

  • More than 5 years of practical experience applying ML / DL to solve challenging problems ;

  • Extensive knowledge and practical experience on at less 2 projects deployed in Production, mainly Supply chain projects ;

  • Experience working effectively with engineering teams ;

  • Advanced programming skills : Python, Tensorflow, PyTorch, Keras, Spark or other frameworks ;

Soft skills

  • Excellent verbal and written communication (French and fluent English) and presentation skills, ability to convey technical concepts and their implications to non-experts

  • Flexibility and open-mindedness; alertness and argumentation; entrepreneurial spirit; relationship skills;

  • Collaborative mindset with different Tech profiles (data scientists, engineers & architects) and business (data owners & stewards, business owners)