Data Science Team Lead

Data Science Team Lead

dsm-firmenich

Geneva, 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 segments.
• Translate scientific research findings into practical applications that can drive business growth. Identify opportunities for commercialization of research outcomes and collaborate with business units to realize these opportunities.
• Design, implement, and analyze graph databases and graph computation workflows, including the development and application of graph embeddings.
• Lead product digital formulation efforts by applying advanced analytical, computational, and modeling techniques. Apply multi-objective optimization techniques to balance competing criteria and deliver data-driven recommendations.
• Apply modern software development and machine learning tools and practices in your daily work, including a high level of proficiency in Python, git, and team co-development workflows. Familiarity with good use of coding agents preferred.

You bring:

• Ph.D., master’s degree or similar experience in Physics, Chemistry, Engineering, Structural Biology, Computer Science, AI, or a related field.
• 5 + years of additional academic or industrial work experience in the chemical industry, bio- and cheminformatics or formulation space.
• Demonstrated experience leading and developing high-performance teams, fostering collaboration, and guiding technical work to successful outcomes.
• Record of accomplishments demonstrating high drive and keen entrepreneurial innovation and ability to provide insights based on data analysis to inform business decisions.
• Strong skills in computational chemistry, cheminformatics, statistics, structural biology, including hands-on development experience of modern AI tools.
• Deep understanding of Data Science methods, formulation performance applications, generative AI technologies in chemistry and physics, science informed ML methods, proficiency Python, good code management, git, and working with CI/CD pipelines.