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Spectral Image Scientist – Senior
| Company | Booz Allen |
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| Location | Springfield, VA, USA |
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| Salary | $99000 – $225000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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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
- TS/SCI clearance with a polygraph
- Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field
Responsibilities
- Leverage advanced and specialized physics research expertise to test and analyze physical phenomena
- Conduct and shape R&D programs
- 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
- Mentor and supervise team members
Preferred Qualifications
- Experience developing and delivering lesson material in a formal classroom environment or for digital recording in video or CBT format, and with microlearning, video editing, and lesson plan development principles
- Experience using Microsoft SharePoint
- 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
