Data Science Lead

bOverview /b pIn 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 RD 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. /p bLeistungen / Benefits /bulliBonus Payment /liliCareer development /liliPension support /liliHome office /liliMedical insurance /li /ul bVerantwortungsbereiche /bulliLead end-to-end data science projects in science and chemistry contexts (research, discovery, analytical chemistry, knowledge management) /liliEnsure quality, traceability, and reproducibility of scientific results within regulatory standards /liliDirect design and implementation of advanced models and data mining for chemistry-related initiatives /liliIncorporate domain chemistry knowledge into modeling approaches /liliOversee scientific data analysis (spectroscopy, chromatography, reaction data) and interpret results with chemical principles /liliMonitor performance using metrics and KPIs and drive continuous improvement /liliContribute to data governance, ensuring data quality, integrity and regulatory compliance across datasets /liliCollaborate with ST scientists and stakeholders to integrate AI into RD and industrial workflows /liliAct as bridge between Data Science and Science Technology experts /li /ul bZentrale Anforderungen /bulli5+ years in data science or analytics /liliExperience in scientific, laboratory or industrial RD environments /lili3+ years in leadership or managerial role /liliStrong interdisciplinary background combining data science and scientific expertise preferred /liliFluency in French and/or German advantageous /li /ululliStrong communication and presentation skills /liliAnalytical and critical thinking /liliCross-functional collaboration /liliProficiency in Python, R, SQL /liliExperience with machine learning frameworks /liliChemistry data formats and modeling (e.g., molecular descriptors, reaction modeling) /li /ul