Working Student -Digital Manufacturing & Data Analytics (all genders)
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Role details
Tech stack
Job description
- Explore different AI based tools and technologies for data processing and visualization
- Develop and test data analysis flow for production data
- Build reporting dashboards, historical trends, etc. over visualization Apps and offer hyper-care for end-users
- Enhance lifecycle management for digital user cases, including data quality control, user access control, etc.
- Supplement documentation for verified data analysis workflow & prepare training materials
Requirements
- Registered student in Computer Science, Engineering, or a related field - master student preferred
- Enhanced Knowledge and experience with programming (Python, Java, C++, etc.)
- Familiarity with AI and machine learning concepts is a plus
- Strong analytical and problem-solving skills
- Openness and team spirit is our culture, also for you
- Fluent in English (C1), German is a plus
About the company
At our Schnelldorf site, around 500 employees are dedicated to ensuring the global availability of laboratory products and research supplies. As part of our site expansion, we are integrating logistics and manual filling - making Schnelldorf a key hub in the global life-science supply chain.For our team we are looking for you: an engaged digital geek who is interested in actively empower production with data and gaining deep insights into industrial digitalization. Join us in transforming complex production data into practical solutions that improve processes, enable smarter decisions and create lasting impact!
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Prepare application
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- Open in Claude
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