Data Science Engineer – pharmaceutical industry

Join our team working on projects of one of the largest pharmaceutical companies in the world and have a real impact on the lives and health of more than 15 million patients!As a Data Science Engineer, you will work closely with AI Scientists and Data Analysts to design, develop, and maintain data pipelines and systems that support clinical and operational data use cases.Your roleAnalyzing large data sets from various sources (clinical, laboratory, manufacturing, marketing)Developing and implementing machine learning and deep learning algorithmsCollaborating with R&D and manufacturing teams to optimize processesVisualizing data and presenting analysis results in a way that is accessible to non-techniciansIdentifying trends and patterns in data that can support business and scientific decisionsMaintaining and developing existing analytical modelsCreating technical documentation and reportsYour skillsGood communication and analytical skills (ability to lead communication, and gather requirements)General understanding of all Data Management areas (especially Master Data Management, Metadata Management, Data Modeling, and Data Warehousing)Practical knowledge of SQL, and experience with relational databasesAt least 3 years of hands-on experience with MDM technology (e.g. Informatica MDM, IBM InfoSphere, Talend), DQ technology (e.g. Informatica Data Quality), or Metadata technology (e.g. Collibra)Understanding of Agile methodologiesGood English spoken and written - at least B2 levelExperience with programming languages like Python or RJob no.240611-QTK2L