Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Jena
- Working Model
- Onsite
Job Summary
In this role, you will develop data-driven solutions in spectroscopy and agronomy, conduct complex analyses, plan experiments, and implement machine learning models to optimize data structures.
Job Technologies
Your role in the team
- In this role, you will play a key part in the data-driven development of our spectroscopic systems and applications.
- Your core responsibilities include:
- Design and conduct complex analyses to support the development and enhancement of various systems in the spectroscopic context - in close collaboration with stakeholders from different disciplines.
- Consulting the Spectroscopy Department on the design of agronomic experiments from the laboratory to field trials, with a particular focus on statistical issues.
- Development of processes and structures for data collection and model generation within the framework of new and existing systems.
- Creation and comparative evaluation of models based on spectra and images, as well as the further development or independent implementation of the necessary mathematical analysis and modeling tools.
- Independent planning and execution of computer experiments to further develop our ingredient models.
- Continuous analysis of existing data sets and optimization of data structures in close coordination with relevant departments and stakeholders.
- Development of concepts for increasing efficiency and quality assurance in the field of Data Science.
- Technical mentoring of junior and mid-level data scientists.
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Our expectations of you
Education
- Completed scientific university degree (minimum 4-year training).
Qualifications
- Excellent knowledge of Python or comparable tools, as well as comprehensive expertise in Machine Learning / Data Science workflows and algorithms.
- Strong social skills, excellent communication abilities, and presentation strength in interdisciplinary teams.
Experience
- Several years of experience in the development and productionization of machine learning models, including MLOps, deployment, and monitoring.
- Extensive experience in the analysis and modeling of (hyper-)spectral data as well as technical understanding of spectroscopic systems.
- Excellent spoken and written German and English skills; experience in geoinformation or agriculture sector is an advantage.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Carl Zeiss AG
ZEISS is a world-leading technology company that is active in the fields of optics and optoelectronics. In the last financial year, ZEISS generated sales revenues of more than 6.4 billion euros through its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (as at 30 September 2019).
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.7
Culture
4.0Workingconditions
4.6Career Growth
3.6Engineering
2.7
Senior Data Scientist - Focus on Spectroscopy & Agronomy
- Location
- Jena
- Working Model
- Onsite
- Diversity
- Open for all genders
