GDAtmospheric Data Support Scientist
Listed on 2026-06-14
-
IT/Tech
Data Scientist
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- Military and Family Emergency Leave
- Paid Holidays
- Performance Bonuses
- Medical and Dental Plans
- Flexible spending accounts
- Direct Deposit Payroll
- 401K Plan with Company Matching and Immediate Vesting
- Short- and long-term disability insurance
- Life and accident insurance
- Tuition Reimbursement
- In-house Seminars/Workshops/Classes
GD166 Atmospheric Data Support Scientist
LocationGreenbelt, MD
JobGD166
# of Openings1
Job SummaryCome see your career take flight at NASA.
This Atmospheric 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 atmospheric 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.
For more information about the GES DISC please visit our web site ((Use the "Apply for this Job" box below).).
The Atmospheric 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 are seeking an innovative Atmospheric Scientist with a strong background in applied sciences to join our research team. Applied science focus areas include, but are not limited to, air quality modeling, atmospheric chemistry, and climate impact assessments. Candidates must possess a Master’s or Ph.D. in Atmospheric Science, with a specific academic or research focus on meteorology and climatology. The ideal applicant will demonstrate a proven ability to efficiently process and analyze remote sensing datasets using programming languages such as Python.
Core responsibilities require extensive, hands‑on experience utilizing both satellite remote sensing observations and model data, coupled with the ability to translate complex findings into accessible scientific articles targeted at non-technical audiences. While not strictly required, prior experience working with radar data and Global Navigation Satellite System (GNSS) measurements is highly desirable.
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 ().
The Atmospheric 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).
- M.S./PhD in Earth or Environmental Sciences, hydrology, civil engineering, or related physical or atmospheric related science, engineering
- Satellite remote sensing experience with 3+ years hands on experience supporting satellite based mission data and products
- 4+ years related experience; scientific programming experience and skill with use of languages such as (Python, IDL, GRADS, perl, C, Fortran) and data formats HDF/HDF-EOS, HDF5, netCDF4, GRIB, and metadata
- Excellent inter-personal and communications skills
- Motivated individual with a keen sense for problem solving and ability to work with little supervision and as part of a team
- Experience leading small projects from inception through execution
- Ability to work in a…
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