FAQs
What type of role is being offered?
The position is for a Junior Data Scientist focused on agriculture and food sectors.
What are the main responsibilities of the Junior Data Scientist?
Key responsibilities include developing innovative prediction models, contributing to the design of modeling tools, conducting experimental designs, managing data, and performing data analyses to support decision-making.
What qualifications are required for this position?
Candidates should have a completed degree in a scientific field (e.g., statistics, mathematics, or chemistry) or relevant training with appropriate further education as a Data Scientist.
Is prior experience with spectroscopic data necessary?
Ideally, candidates should have practical experience in dealing with spectroscopic data.
What programming skills are required?
Proficiency in Python and experience in data analysis and creating predictive models are necessary.
Are there any specific knowledge areas that are advantageous for this position?
Familiarity with machine learning methods, data science workflows, and relevant algorithms is advantageous.
What language skills are needed for this role?
Candidates should be able to present complex concepts clearly in both German and English (B2-C1 level).
Can I work from home in this position?
Yes, remote work is supported, with up to 70% of the work being done from home.
Is collaboration with other teams encouraged?
Yes, the role involves working collaboratively in interdisciplinary teams.
Who can I contact for more information about the role?
You can reach out to Bastian Hoffmann from the ZEISS Recruiting Team for further inquiries.