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Imagery Scientist – EO Expert

Geo Owl
Posted 7 days ago, valid for 13 days
Location

Springfield, VA 22161, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Imagery Scientist – EO Expert focuses on advanced Electro-Optical (EO) imagery analysis and algorithm development.
  • Candidates must have a minimum of six years of experience as an EO imagery subject matter expert.
  • The role requires a deep understanding of EO collection methodologies and experience in exploiting EO imagery for identifying Objects of Interest.
  • Proficiency in tools such as Python, MATLAB, and Google Earth Engine is essential for developing and evaluating algorithms.
  • The position offers a competitive salary, reflecting the advanced expertise required for this specialized role.

Position Overview

The Imagery Scientist – EO Expert provides advanced expertise in Electro-Optical (EO) imagery analysis, algorithm development, and remote sensing methodologies. This position supports operational exploitation, research initiatives, and development of innovative EO analytical capabilities across mission environments.

Required Qualifications

  • Minimum of six (6) years of experience as an Electro-Optical (EO) imagery subject matter expert.
  • Deep understanding of EO collection methodologies, phenomenology, image formation processes, and exploitation products.
  • Experience exploiting EO imagery to identify, characterize, and geolocate Objects of Interest (OOIs).
  • Experience developing, testing, and evaluating algorithms, processes, methodologies, and products using EO imagery with tools such as Python, MATLAB, and Google Earth Engine.
  • Ability to communicate EO capabilities, operational applications, and limitations to both technical and non-technical audiences.
  • Strong understanding of remote sensing principles, imagery science, image processing, and advanced exploitation methodologies.

Desired Qualifications

  • Experience applying computer vision (CV), artificial intelligence (AI), or machine learning (ML) techniques to EO imagery exploitation and analytics.



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