DATA SCIENTIST (Saint-Ouen, France)
We are L'Oréal. We don't just create brands, we shape the way the world experiences beauty (and that takes a lot of exciting careers). Intrigued?
A Day in the Life
Within our Artificial Intelligence & Data Science team, you will play a pivotal role in defining and enacting the algorithmic strategy for R&I to support its digital transformation. Reporting to the Data Science leadership, you will collaborate with local teams and data scientists worldwide, working closely with formulation, clinical, and regulatory teams to transform advanced algorithms into real-world consumer beauty products.
Your main responsibilities will be
- Advanced Modeling & Algorithmic Strategy
- Design, implement, and deploy innovative algorithms, with a specific focus on constructing generative AI pipelines (LLMs, transformers, diffusion models) applied to the field of chemistry.
- Understand and translate non-technical user needs into algorithmic constraints and specifications, developing custom methods adapted from scientific literature.
- Handle, prepare, and preprocess complex data datasets to support the development and training of these algorithms.
- Strategic Collaboration & Technology Transfer
- Partner closely with Research and Innovation (R&I) labs to evaluate predictive formulation methods and support green chemistry data requirements.
- Act as a technical expert during the technology transfer of models to user-facing products, ensuring their successful integration and performance.
- Define evaluation protocols, analyze the performance of developed methods, and quantify the real-world impact on the end-user.
- Scientific Advocacy & IP Protection
- Ensure the intellectual property protection of our innovations by actively participating in the generation of patents and publications in scientific journals.
- Interpret statistical results in a clear and structured way to support decision-making and help project leaders make data-driven decisions.
- Lead and actively promote the data visualization and analytics field by coordinating a community of R&I "data analyst citizens."
We Are Looking For
- Scientific excellence combined with a pragmatic, product-oriented, and results-driven mindset.
- Proactive attitude with a high sense of responsibility and project ownership.
- Data & Digital oriented: highly comfortable with cutting-edge digital tools and data-driven scientific approaches.
- Collaborative spirit and excellent communication skills, with the ability to explain complex technical topics clearly to non-technical audiences.
- Agile and solutions-oriented: able to manage competing priorities, work autonomously, and think "outside the box."
You are the ideal candidate if you have
- A Master's or Ph.D. degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- A minimum of 4 years of experience in data science (excluding doctoral thesis work where applicable), with a proven track record of developing and deploying ML/DL models.
- Strong expertise in Transformers (ideally experienced), Python, R, LangChain, PyTorch, TensorFlow, and Bayesian statistics.
- Full professional fluency in both English and French (read, written, spoken).
What's In It For You
Life is too short for a boring career. That's why at L'Oréal, you don't just start a job; you embark on an adventure. You will be encouraged to take risks, challenge the status quo, and leave your mark on the future of the beauty industry through scientific excellence.
- An environment where you can step out of your comfort zone and grow beyond your potential.
- Real responsibilities from day one - at L'Oréal, you are in the driver's seat of your career.
- A place where people of all backgrounds are accepted, can express themselves, thrive, and are celebrated!
- A chance to contribute to something bigger through our societal and environmental commitments.
Who We Are
L'Oréal is present in 150 markets on five continents. For over a century, L'Oréal has been dedicated to "Creating the beauty that moves the world." Our Research & Innovation department is at the heart of this mission, ensuring that every product we launch meets the highest standards of safety and performance. We harness Science & Tech to understand our consumers and optimize our formulas. Our experts use state-of-the-art methodology to invent safe, sustainable, and high-performance beauty experiences that change people's lives.
We are committed to inclusive recruitment processes and promoting every candidate ethically and fairly. The Group strictly prohibits discrimination against any candidate for employment based on gender identity, sexual orientation, disability, background, age, religion, or any other characteristic protected by law.
Ready to shape the future of L'Oréal Beauty? Apply now and let's start the conversation!
- [1] La Recherche & Innovation au service de la Beauté
- [2] La Diversité à L'Oréal R&I
- [3] LinkedIn L'Oréal Groupe
References
Visible links
- https://www.loreal.com/en/nos-metiers/research-and-innovation/
- https://www.loreal.com/en/group/culture-and-heritage/diversity-and-inclusion/
- https://www.linkedin.com/company/loreal/