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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

• 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 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, 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

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

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.