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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In cross-functional teams, you will drive & manage projects in the field of Machine Learning (ML) and Data Science with a focus on timeseries forecasting and financial forecasting. In this role, you will support the preparation and execution of Data Science / ML projects: from setting the scope to roadmap-planning, to execution in an agile manner, to lessons learned that can be integrated into new projects. As part of a vivid team, you will be in contact with users from different ZEISS departments, assess and plan Data Science- and ML-related tasks and report outcomes and results. With your organizational and project management skills, you will enable our experts to focus on technical, high-quality solutions. You will be at the interface between our technical experts and different ZEISS departments to create great Software products. You will be an advocate of the work of our Data & Analytics team.
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An excellent University degree (Ph.D. is a plus) in Natural Science, Mathematics, Computer Science, Engineering, or equivalent
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At least 3 years of professional experience in project management in Machine Learning / Data Science, focused on timeseries data and Financial Forecasting
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Professional experience as a Product Owner
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The ability to understand the technical architecture of ML / Data Science solutions and State of the Art Web Apps
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Experiences with best practices in timeseries modeling, forecasting model development, deployment, and operation
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A good understanding of the power of standardization at the core and innovative flexibility at the shell
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Experience in stakeholder management
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The ability to understand customer needs and solve real-world problems
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Strong communication, presentation, and project management skills
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Basic knowledge of corporate data governance best practices (e.g., working with confidential data)
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Fluent German and English language skills