Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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You will play a crucial role in shaping the future of Data Science and actively contribute to the success of the digital transformation at ZEISS. As part of our rapidly growing Enterprise Data & Analytics organization within the Data Science team, you develop targeted data-driven solutions with a focus on financial forecasting and modelling. In close collaboration with colleagues from finance and controlling departments, you explore internal and external datasets to develop robust models and algorithms that drive accurate revenue forecasts, enabling informed decision-making and strategic planning. You will transform business needs into technical solutions, from early explorative analyses to fully functional and operational solutions. You will actively contribute to the exchange of knowledge within the team and the ZEISS machine learning community.
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An excellent university degree (PhD is a plus) in natural science, mathematics, computer science, economics or similar
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At least 3+ years of professional experience in a data modeling, algorithm development or data science role
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A deep understanding of data analytics and machine learning and their underlying algorithms
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Experiences with best practices in model development and deployment (Azure Machine Learning Service/ MLflow)
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A background in software development (Python, git, MS Azure DevOps) and familiarity with agile methods
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Familiarity with financial concepts and metrics, including revenue recognition, profitability analysis, and financial statements
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The ability to understand customer needs and solve real-world problems and to prepare, communicate and discuss complex technical facts to non-technical stakeholders
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Pronounced results orientation and strong strategic and conceptual skills
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Fluent English and advanced German language skills
At ZEISS we encourage creative thinking and innovation. We work in dynamic and interdisciplinary teams and offer individual development perspectives as well as flexibility in organizing your work. We care about our employees and take responsibility for improving society and preserving our environment. These core values have shaped our corporate culture at ZEISS for over 170 years.
Join us and shape the future!
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