Space and Earth Science Data Analysis
IT030 Data Scientist
Space and Earth Science Data Analysis, Baltimore, Maryland, United States
Overview
ADNET Systems invites applications for a position as Data Scientist, to work as a contractor under the Computational and Information Sciences and Technology Office (CISTO) at the NASA Goddard Space Flight Center (GSFC) in Greenbelt, MD. This is a full time position starting as soon as possible – salary to commensurate with experience. Responsibilities
Hands-on experience preprocessing remote sensing datasets including
Landsat, HLS, MODIS, VIIRS, AVIRIS , and commercial satellite data. Experience fine-tuning foundation models such as
Prithvi, DINOv2, DOFA , and
Terramind
for Earth observation tasks. Experience with developing and training
convolutional neural networks (CNNs)
for commercial geospatial regression and segmentation applications. Experience coordinating and supporting the planning and execution of large-scale scientific
meetings, workshops, and collaborative sessions. Proficient in using geospatial Python libraries such as
rasterio, xarray,
and
GDAL . Experience working with
Jupyter notebooks
to support reproducible machine learning experimentation. Familiarity with cloud-based platforms (e.g.,
AWS, NASA Earthdata ) for remote data access and processing. Comfortable using
version control (Git/GitHub) , writing technical documentation, and collaborating in cross-functional research teams. Required Qualifications
Ability to obtain and maintain a Tier 1 Investigation through NASA. Bachelor’s degree in Data Science, Computer Science, Earth Science, Applied Mathematics, Engineering, or a related field (Master’s preferred). 2–4 years of experience applying data science techniques to real-world datasets, preferably in scientific or remote sensing domains. Proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib. Experience with geospatial tools and libraries, including xarray, rasterio, GDAL, and Cartopy
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ADNET Systems invites applications for a position as Data Scientist, to work as a contractor under the Computational and Information Sciences and Technology Office (CISTO) at the NASA Goddard Space Flight Center (GSFC) in Greenbelt, MD. This is a full time position starting as soon as possible – salary to commensurate with experience. Responsibilities
Hands-on experience preprocessing remote sensing datasets including
Landsat, HLS, MODIS, VIIRS, AVIRIS , and commercial satellite data. Experience fine-tuning foundation models such as
Prithvi, DINOv2, DOFA , and
Terramind
for Earth observation tasks. Experience with developing and training
convolutional neural networks (CNNs)
for commercial geospatial regression and segmentation applications. Experience coordinating and supporting the planning and execution of large-scale scientific
meetings, workshops, and collaborative sessions. Proficient in using geospatial Python libraries such as
rasterio, xarray,
and
GDAL . Experience working with
Jupyter notebooks
to support reproducible machine learning experimentation. Familiarity with cloud-based platforms (e.g.,
AWS, NASA Earthdata ) for remote data access and processing. Comfortable using
version control (Git/GitHub) , writing technical documentation, and collaborating in cross-functional research teams. Required Qualifications
Ability to obtain and maintain a Tier 1 Investigation through NASA. Bachelor’s degree in Data Science, Computer Science, Earth Science, Applied Mathematics, Engineering, or a related field (Master’s preferred). 2–4 years of experience applying data science techniques to real-world datasets, preferably in scientific or remote sensing domains. Proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, and Matplotlib. Experience with geospatial tools and libraries, including xarray, rasterio, GDAL, and Cartopy
#J-18808-Ljbffr