Imagery Scientist - SAR Senior

Geo Owl

$90K — $120K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience with Synthetic Aperture Radar (SAR) imagery
  • Knowledge of SAR collection techniques and image formation processes
  • Skilled in assessing SAR imagery quality metrics
  • Experience in determining the location of Objects of Interest (OOIs) via SAR
  • Strong communication skills for technical and non-technical audiences
  • Familiar with remote sensing principles and imagery processing techniques

Responsibilities

  • Support SAR exploitation activities through operational analysis
  • Conduct imagery quality assessments to ensure data integrity
  • Provide mission-focused analytical support based on SAR data
  • Evaluate and apply SAR imagery products effectively
  • Engage stakeholders with detailed technical expertise

Benefits

  • Flexible work environment
  • Opportunities for professional development
  • Collaborative team culture
  • Access to cutting-edge technology
  • Comprehensive health and wellness resources
Full Job Description
Position Overview

The Imagery Scientist - SAR Senior supports SAR exploitation activities through operational analysis, imagery quality assessment, and mission-focused analytical support. The candidate will contribute to the evaluation and application of SAR imagery products and provide technical expertise supporting mission operations and stakeholder engagement.
Required Qualifications
  • Minimum of four (4) years of experience working with Synthetic Aperture Radar (SAR) imagery and exploitation methodologies.
  • Understanding of SAR collection techniques, phenomenology, image formation processes, and exploitation products.
  • Experience assessing SAR imagery quality metrics and sensor metadata.
  • Experience exploiting SAR imagery to determine the occurrence and location of Objects of Interest (OOIs).
  • Ability to communicate SAR capabilities and operational applications to technical and non-technical audiences.
  • Understanding of remote sensing principles, imagery processing techniques, and advanced exploitation methodologies.
Desired Qualifications
  • Experience applying computer vision (CV), artificial intelligence (AI), or machine learning (ML) techniques to SAR imagery analysis.

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