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Space and Earth Science Data Analysis

IT030 Data Scientist

Space and Earth Science Data Analysis, Baltimore, Maryland, United States

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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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