Spectral Image Scientist

Booz Allen HamiltonSpringfield, VA
Remote

About The Position

Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and support S&T client challenges. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor and supervise team members.

Requirements

  • 7+ years of experience in the field of remote sensing, image processing, or image science
  • 3+ years of experience with applied image processing and scientific analysis of spectral image data with commercial and civil data sources
  • 3+ years of experience developing prototypes with R&D
  • Experience with techniques, algorithms, and spectroscopic analysis required for processing hyperspectral or multispectral imagery from airborne or space-borne systems
  • Experience collaborating with national and service intelligence agencies or centers, including imagery collection and exploitation and GEOINT
  • Experience using Microsoft programs such as Outlook, Word, PowerPoint, Access, and Excel
  • Knowledge of spectral imaging, phenomenology, processing techniques, and overhead intelligence collection systems
  • Ability to parse code and scripts in IDL, JAVA, MATLAB, Python, or R
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice To Haves

  • Experience working with manmade irradiance sources, including LEDs and other lights in an optics or remote sensing context
  • Experience with signature library development and using Harris' ENVI COTS image processing software or ERDAS IMAGINE
  • Experience with sensor design principles and their relationship to sensor performance
  • Experience in tool development and software coding in IDL, MATLAB, C++, or Python and with the development and use of APIs
  • Experience in atmospheric science and with GIS software and methodological principles, including ArcGIS
  • Experience with the Amazon C2S cloud infrastructure framework, including PKIs and content and access security constraints
  • Master's degree in a Science, Social Science, or Security field
  • Completion of Remote Sensing, Earth Science, Physical Science, Engineering, or Mathematics Training

Responsibilities

  • Test and analyze physical phenomena
  • Conduct and shape R&D programs
  • Support S&T client challenges
  • Develop innovative solutions to complex problems
  • Mentor and supervise team members

Benefits

  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
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