Spectral Image Scientist The Opportunity: 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. You Have: • 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 If You Have: • 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.