DATA SCIENTIST - RESEARCH & INNOVATION

Context

Digital technology is increasingly at the heart of the L’Oréal group’s strategy and its brands. Whether it enhances the point-of-sale experience, offers new services directly to consumers, or transforms the working methods of our researchers, digitalization of L’Oréal’s expertise is key to this transformation. The role of data science is growing in the daily work of our researchers, who rely on characterization, modeling, in silico prediction, data analysis and knowledge extraction from unstructured data to address today’s major cosmetic challenges, such as green formulation – a pillar of the L’Oréal for the Future program.

The Artificial Intelligence & Data Science team is in charge of defining and enacting the algorithmic strategy for R&I to support its digital transformation. Working with local teams in entities and hubs, the team structures, provides tools and methods, and tackles research topics on all strategic algorithm areas for L’Oréal R&I. From deep learning to LLMs, attention‑based to diffusion models, Bayesian statistics to Design of Experiments, the team oversees development, industrialization and operation of algorithms. By joining the AI&DS team, you will contribute to topics ranging from exploration to product‑oriented work with a specific focus on the construction of generative AI pipelines applied to the field of chemistry (knowledge recovery, formulation, …). You will be responsible for understanding and translating end‑user needs into algorithmic constraints/specifications, developing new methods, and scientifically validating the results. You will act as a technical expert during technology transfer to user‑facing products and ensure successful integration.

Missions

• Participate in L’Oréal Research worldwide activities for innovative methods and applications.
• Collaborate with Data Scientists worldwide to develop statistical analysis processes, plans and determine appropriate statistical methodology for data analysis as part of the study protocol and design.
• Take ownership of data science topics.
• Independently apply and implement basic and complex statistical techniques to translate data into information, supporting results interpretation.
• Conduct technological monitoring of evaluation and predictive formulation methods.
• Understand and translate user needs into algorithmic specifications.
• Design and implement algorithms that effectively meet these needs.
• Handle data to support algorithm development (specification, preparation, preprocessing, etc.).
• Define evaluation protocols, analyze performance of developed methods and quantify impact on the end‑user.
• Ensure intellectual property protection of innovations and contribute to the company’s scientific influence (patents, publications in journals or conferences, etc.).
• Document and present work to team members and management.
• Contribute to decision making, interpreting statistical results clearly to help project leaders make data‑driven decisions.
• Actively promote data visualization and analytics by leading a community of data analyst citizens.
• Maintain and build external networks, introducing relevant technology to accelerate innovation.

Required Skills

• Functional and technical skills (Mandatory) : Programming (Python, R, LangChain, Scikit‑Learn, Keras, PyTorch, TensorFlow, NumPy, Pandas, Docker, Git). Statistics (mixed models, Bayesian analysis, computational statistics, numeric analysis). Machine learning / deep learning (transformers, diffusion models, ViT, GANs).
• Nice to Have: Design of experiments, code productization, software engineering & design, data engineering.
• Personal & Interpersonal Skills (Mandatory) : Excellent communication skills, ability to explain technical topics clearly to technical and non‑technical audiences; autonomy, priority management, problem solving, self‑starter. Strong collaboration, influence and facilitation skills within a project‑based environment. Fluent English speaker.
• Nice to have: knowledge of cosmetics and formulation.

Additional Information

• Contract Type: Full‑Time
• Location: Saint‑Ouen
• Possible partial remote