Data Scientist for Optics Cleaning Technology (m/f/x)

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.

ZEISS Semiconductor Manufacturing Technology

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, they 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.

You are responsible for the digitization roadmap of a high-tech process development department

They drive forward the application of modern methods of process data analysis, including machine learning algorithms, for the development, qualification and monitoring of processes

They support the process understanding of current and future processes, as well as technologies through simulations, models and reconstructions of process results

They are responsible for screening new digital methods, such as Generative AI, and enable scientific employees to independently apply

You support your expertise in the automation and Troubleshooting of Production Processes

They represent the department in terms of data management, data architecture and data security, agree with the relevant stakeholders and network with internal and external partners for all types of digitalization.

They have a successfully completed study of data science, computer science or related natural sciences as well as relevant expert knowledge in data management and data architectures, ideally with Azure Cloud architectures

They possess sound skills in the evaluation of large, complex amounts of data, as well as their (process) modeling and the application of machine learning

They bring a fundamental understanding of scientific relationships and ideally have several years of experience in the scientific or productive environment.

sound knowledge in Python and SQL are required, knowledge in Matlab are advantageous

They can represent topics and bring a provenly high degree of communication strength, team and conflictability, customer orientation and resilience and flexibility with

You have very good German and English skills

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