Spectral Image Scientist

Booz Allen Hamilton•Springfield, VA

1d•Onsite

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
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, and processing techniques
Knowledge of 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 Science, Technology, Engineering, or Mathematics (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, especially 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 Training in the field of Remote Sensing, Earth Science, Physical Science, Engineering, or Mathematics