DSM-Firmenich

We are dsm-firmenich – innovators in nutrition, health, and beauty. We bring progress to life by combining the essential, the desirable, and the sustainable. From our master perfumers and flavorists to our expert nutritionists and scientists, our trailblazing teams work closely with customers, supporting their ambitions with 150+ years of R&D expertise. With a passionate and talented team of close to 30,000 employees, we are determined to be a force for good. And to work together to positively impact people and planet. #webringprogresstolife

21/02/2026
Full time
DSM-Firmenich Geneva, Geneve, Switzerland
We are seeking a highly skilled data scientist specialized in Formulation Performance Modeling and Formulation Creation to lead the Data Science team across a portfolio of Innovation projects, as well as ensuring the team is deploying the latest, state-of-the-art technologies and skills in order to develop, manage and govern various in the area of food, perfumery and beauty. The candidate would join dsm-firmenich's Data Science team within Science and Research and with focus on Data Science model development and on the translational task between Data Science and Business Units key users and stakeholders. Your key responsibilities: Manage and mentor a multidisciplinary Data Science team, ensuring effective collaboration, skill development, and delivery of high-quality work. Contribute to the development and adoption of Data Science best practices and by our global community of data scientists, scientists and experts in perfumery and beaty, taste, texture and health...
20/02/2026
Full time
DSM-Firmenich Kaiseraugst, AG, Switzerland
Job Title : R&D Data Management Delivery Expert. City, Country:   Kaiseraugst/Geneva, Switzerland /Delft, The Netherlands/ Barcelona, Spain. Join our FAIR Data Management team to strategically lead the delivery of R&D data engineering and modeling projects that power FAIR, interoperable science. Build and scale pipelines, models, and catalogs on our modern data platform. Partner with scientists to turn complex requirements into reusable data products. Your key responsibilities Lead end‑to‑end delivery of data engineering and modeling projects (pipelines, models, catalogs). Enable and oversee squads to build and scale reliable pipelines and reusable data products, ensuring performance and quality. Define and enforce modeling standards and metadata/lineage practices aligned with FAIR. Partner with (data)scientists and IT, translating complex needs into practical, scalable data solutions. Shape and govern scalable data architectures, guide...