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Data product manager Jobs in Dornburg-Camburg
Product Owner Computational Imaging (f / m / x)
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AbbottJena, State Not Indicated, GermanyData Scientist / Data Analyst / Data Engineer (m / w / d) bis zu 7.000€
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Leibniz Institute for Natural Product Research and Infection BiologyJena, Deutschland- Gesponsert
Data Science & ML Coding Trainer
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Skills ProvisionThüringen, GermanyProduct Owner Computational Imaging (f / m / x)
ZEISS GroupJena- Vollzeit
Shape the digital future of ZEISS in the Global Algorithms & Software Semiconductor Mask Solutions team!
Your sophisticated algorithms evaluate enormous amounts of image data in a highly efficient manner. Only in this way we enable the performance of our complex photomask systems - the essential building block to manufacture defect-free microchips.
Your Role
Our high-tech measurement systems for semiconductor lithography are characterized by extreme demands on measurement performance. This performance is essentially achieved by optical components and computational algorithms at the highest level. Breaking through the limits of accuracy and throughput for extreme data rates is your new challenge at ZEISS. Your role is to bring such solutions into our products.
You will assume the overall responsibility for multiple sub-product teams. These teams providecomputational models, image processing, high performance computing, and software solutions as sub-products to your overarching product.
You identify and negotiate development requirements with internal and external stakeholders. Thereby you coordinate complex interfaces and have a good technical understanding of the product. You will be responsible for the development progress and shape the product vision.
Your Profile
a very successfully completed degree in physics, computer science, engineering, or applied mathematics
several years of professional experience in product management, as a project manager or product owner in a SCRUM team, ideally in the field of algorithm development in the semiconductor industry
very good knowledge of machine learning and classical image processing as well as good physical and methodological knowledge of geometric and physical optics
very good knowledge of Python, C++, preferably also with parallel computing (CUDA, OpenMP, Cloud)
excellent communication and negotiation skills, very goodassertiveness, and team spirit
very good English skills
great passion to successfully solve complex and difficult problems independently and as part of a team
Your ZEISS Recruiting Team :
Kathrin Siegel