GAF AG is an internationally successfully operating company for cross-platform EO-based geoinformation solutions and for the development of innovative GIS and database applications. In addition to the reception and distribution of geodata, GAF holds a leading position in the areas of data refinement and geoconsulting due to its many years of expertise. With an international and interdisciplinary team of experts, GAF sets standards for individual consulting as well as for state-of-the-art cloud- and AI-based solutions in the field of satellite-based monitoring of future- and sustainability-oriented application areas.
To further strengthen our team in the field of geodata analysis at our headquarters in Munich, we are looking for a
The results of our work are used by authorities, companies and in science worldwide for further analysis and decision-making. Using our data analysis capabilities, we provide thematic and statistical information at various spatial reference levels locally and globally. Processing large volumes of satellite data with innovative analysis methods in cloud infrastructures has been indispensable for several years and enables, for example, the creation of land cover products on a continental scale as part of the EU‘s Copernicus program.
• Development of methodologies for deriving information from satellite, climate and other geospatial data
• Developing together with your team members (Data Scientists, Software Developers and DevOps Engineers) highly efficient data analytics workflows for the derivation of spatial data sets in raster and vector format based on satellite data and represent these to stakeholders such as project managers and customers
• Evaluating and testing of new technologies and assessing them in terms of their benefit for the company
• A master’s degree in Science or Engineering, such as Geoinformatics, Remote Sensing, Computer Science, Data Science or similar
• At least two years of professional experience in developing methods and software for the exploration of geographic raster and vector data
• Profound experience with remote sensing and geodata
• Knowledge of ML and DL methods for regression analysis, image segmentation, image classification and object detection
• Extensive knowledge and experience with Python
• Profound experience with software development tools like Git, PyCharm or VSCode
• Fluency in English (at least level C1 according to the CEFR)
• Ability to work in a cross functional team with a broad variety of technical skills within an open and creative work environment
• Knowledge about GIS software such as QGIS, SNAP
• Familiarity with databases preferably PostgreSQL
• Experience with cloud development and CI/CD (Docker, K8s, Airflow, Jenkins)
• Experience with WSL and basic Linux commands
• Content-wise diverse, technically demanding and responsible tasks in one of Europe’s leading geo-information companies
• Comprehensive support in familiarising yourself with your professional role
• Training and development – because your experience and knowledge count
• A respectful, friendly and modern project working environment in a multi-national team of committed colleagues and a leadership style based on trust
• Flexible working hours and the opportunity to work from home within the framework of our regulations
• Workation: temporary work from abroad depending on individual and legal requirements
• Contribution to the Deutschland-Ticket (job ticket)
• An attractive location with perfect public transport connections and great options for outdoor and recreational activities in the direct vicinity
• Various additional benefits, e.g. company pension scheme (optional), travel health insurance (worldwide), occupational health management, and much more
Only applicants with a German work permit and with relevant experience in the field of remote sensing can be considered.
Then we would be delighted to receiving your application. Please send a cover letter and CV and any useful supporting documents, along with your (gross) salary expectations and your earliest possible starting date to recruiting@gaf.de.
Please state „Geospatial Data Scientist“ as the subject.
Recruiting-Team
recruiting@gaf.de
Tel.: +49 89 12 15 28-0
Arnulfstr. 199 • 80634 München • https://www.gaf.de
