Requirements at a glance

Master degree in Science or Engineering (Required)
5+ years Deep Learning (Required)
Python (Required)
TensorFlow (Required)
Keras (Required)
PyTorch (Required)
Remote sensing and geodata (Required)
English C1 (Required)
LLM and VLM experience (Preferred)
Docker (Preferred)
German work permit (Required)

RequiredPreferred

3 days ago

Senior Geospatial Data Scientist

GAF Geospatial GmbH (GAF), an e-GEOS S.p.A. (Telespazio S.p.A./ASI) company, is a globally active provider of cross-platform geoinformation solutions and innovative Earth Observation applications. In addition to receiving and procuring satellite-based earth observation data, GAF holds a leading position in the areas of data processing and geo-consulting due to its 40 years of expertise. With an international and interdisciplinary team of experts, GAF sets standards for geospatial consulting, cloud- and AI-based data analysis, and satellite-based monitoring of the environment and natural resources in Europe and around the globe.

To support current and upcoming projects in the field of geospatial data analysis at our headquarters in Munich, we are looking for a motivated Senior Geospatial Data Scientist with focus on remote sensing for the processing and analysis of geospatial data.

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.

Your tasks:

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
Support your DevOps colleagues deploying code in different cloud environments and monitor/tune the applications for best performance
Evaluating and testing new technologies, frameworks or libraries and assessing them in terms of their benefit for the company
Contributing your own ideas and suggestions for improvement or new developments