This Hydrology Data Support Scientist position requires a motivated and capable scientist to provide end-to-end support for the Goddard Earth Sciences Data and Information Services Center (GES DISC), to facilitate our mission in support of NASA earth data products in particular for those related to hydrologic. precipitation and water related remotely sensed products using the suite of NASA satellites. These data products include legacy, current and future NASA Earth Science mission data (satellite and modeling), and discipline-related products. Data Support Scientist responsibilities will include understanding the currently archived data at GES DISC (data formats and associated metadata), developing scientific applications such as algorithms for generating value-added products and applications to support advanced services that can be plugged into existing visualization and analysis systems, and developing tools to support interoperability for discovering, accessing, customizing, viewing, and analyzing data. We highly prefer applicants with a strong background in applied sciences who can effectively translate theoretical research into practical, real-world water management solutions. While prior experience using hydrological models is encouraged, it is not strictly required. A critical requirement for this role, however, is the ability to leverage satellite and remote sensing datasets to perform robust analyses using programming languages such as Python. Typical responsibilities will include developing applied hydrological use cases and publishing scientific articles to effectively communicate research outcomes to the broader community. Position responsibilities will also include developing extensive documentation on the data products and services, providing user-focused support, and supporting the GES DISC user outreach efforts. An example of value added support services is our Giovanni web based visualization tool (https://giovanni.gsfc.nasa.gov/giovanni/). The Hydrology Data Support Scientist applicant is expected to solve complex algorithm or data conversion problems with little or no oversight and have the ability to respond effectively to science data user questions on technical and scientific issues, provide technical and scientific support in enhancing and extending data and information services. As such, excellent communication skills (written and oral) are a must. The candidate will also have demonstrated capability and interest to learn and apply new technologies to tasks at hand and commensurate familiarity with common data formats, data analysis tools, and relevant programming languages ( HDF/HDF-EOS, GRADS, netCDF, IDL, Python, Perl, Fortran, C ).
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree