0Working Student Data Science for Optics Manufacturing (m/f/d)
ZEISS | Germany | 73xxx Oberkochen (Baden-Württemberg) | Student job | Part time - flexible | Published since: 18.03.2026 on stepstone.de

Working Student Data Science for Optics Manufacturing (m/f/d)

Branch: Electrical engineering Branch: Electrical engineering


As a student, you work with your colleagues at eye level and create ideal conditions for your later career.

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company.

ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

Apply now! In less than 10 minutes. .

Your tasks • Your profile • What we offer

As a student, you work with your colleagues at eye level and create ideal conditions for your later career.

Trust something new, grow beyond itself and redefine the boundaries of the feasible. That is exactly what our employees can and should live daily. To set the pace with our innovations and make it great. Because there are a lot of fascinating people behind every successful company.

ZEISS employees work in an open and modern environment with numerous development and further training opportunities. Our culture is characterized by expert knowledge and team spirit. All this is supported by the special ownership structure and the long-term goal of the Carl-Zeiss Foundation: to advance science and society together.

Today dare. Inspire tomorrow.

Diversity is part of ZEISS. We look forward to your application regardless of gender, nationality, ethnic and social origin, religion, world view, disability, age as well as sexual orientation and identity.

Apply now! In less than 10 minutes.

Enabler for smaller, more powerful and more energy-efficient microchips Work where the morning arises. About 80 percent of all microchips worldwide are manufactured using ZEISS technologies. As the heart of any electronically controlled system, You are no longer to think away from our everyday life – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and solutions for process control, ZEISS enables the production of increasingly smaller, more powerful and more energy-efficient microchips – and thus decisively shapes the age of microelectronics and nanoelectronics with its innovations.

With us you have the opportunity to optimally connect your studies and practice and to actively collaborate on exciting projects. So you gain valuable experiences, build your network and develop both professionally and personally. You support the application of modern methods of process data analysis, including machine learning algorithms, for the development, qualification and monitoring of processes. You work on the complete life cycle from requirement management to the final implementation of the solution for the Data Scientist (m/w/x) department

You work to improve the process understanding of current and future processes and technologies through models and reconstruction of process results

You support the evaluation of new digital methods such as Generative AI and enable process developers (m/w/x) in their own application

You will be in the Master's Program of Data Science, Computer Science or related disciplines shortly before you complete your Bachelor's degree programme.

Relevant knowledge of data management and data architecture, ideally with Azure Cloud architectures

Skills in the evaluation of large, complex data volumes as well as their (process) modeling and application of machine learning

knowledge of Python and SQL are desirable; Knowledge of Matlab is advantageous

Self-promoting themes and a high degree of initiative and communication skills

Very good German and English language skills in word and writing

Sounds exciting? Then become part of #teamZEISS and shape the future with us! Please submit your complete application documents (lifetime, certificates).

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Location

ava ZEISS
73447  Oberkochen (Baden-Württemberg)
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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