Data Science Lead
Description du poste
Overview
In this role you lead AI and data science initiatives within Science & Technology, bridging DS work with chemistry and lab operations. You guide data scientists and AI engineers to build robust models and actionable solutions that inform R&D and industrial processes. You will oversee project delivery, governance, and scientific interpretation, ensuring reproducibility and regulatory alignment. This position offers impact across research, development, and manufacturing within a global, innovation-driven company.
Leistungen / Benefits- Bonus Payment
- Career development
- Pension support
- Home office
- Medical insurance
- Lead end-to-end data science projects in science and chemistry contexts (research, discovery, analytical chemistry, knowledge management)
- Ensure quality, traceability, and reproducibility of scientific results within regulatory standards
- Direct design and implementation of advanced models and data mining for chemistry-related initiatives
- Incorporate domain chemistry knowledge into modeling approaches
- Oversee scientific data analysis (spectroscopy, chromatography, reaction data) and interpret results with chemical principles
- Monitor performance using metrics and KPIs and drive continuous improvement
- Contribute to data governance, ensuring data quality, integrity and regulatory compliance across datasets
- Collaborate with S&T scientists and stakeholders to integrate AI into R&D and industrial workflows
- Act as bridge between Data Science and Science & Technology experts
- 5+ years in data science or analytics
- Experience in scientific, laboratory or industrial R&D environments
- 3+ years in leadership or managerial role
- Strong interdisciplinary background combining data science and scientific expertise preferred
- Fluency in French and/or German advantageous
- Strong communication and presentation skills
- Analytical and critical thinking
- Cross-functional collaboration
- Proficiency in Python, R, SQL
- Experience with machine learning frameworks
- Chemistry data formats and modeling (e.g., molecular descriptors, reaction modeling)
