Expert SAR Imagery Scientist

Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and to support S&T client challenges. Apply leading-edge principles, theories, and concepts. Contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.

• 15+ years of experience in the field of SAR, remote sensing, image processing, or image science
• 4+ years of experience with SAR, including leading teams
• Experience with imaging radar analysis techniques utilizing advanced image and signal processing methods and tools to support new signature and methodology development
• Knowledge of applied image processing, advanced analysis of radar imagery, and imaging radar physics, phenomenology, and phase history processing
• Knowledge of sensor design principles and their relationship to sensor performance
• Knowledge of imagery ordering tools, electronic light tables, and products
• Knowledge of US IC, specifically imagery collection and exploitation and GEOINT’s role in the intelligence mission
• Knowledge of the tasking of overhead intelligence collection systems
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in Image Science, Remote Sensing, Earth Science, Physical Science, Computer Science, Statistics, or a STEM field and 15+ years of experience with SAR, or 20+ years of experience with SAR in lieu of a degree

Nice If You Have:

• Experience in image or signal processing, such as IDL or MATLAB
• Experience with the development and use of APIs
• Experience in Google Earth Engine, ArcGIS Online, ArcGIS Pro, Tableau, or Web Services Development
• Experience with GIS software and methodological principles, including ArcGIS
• Possession of excellent interpersonal, written, and oral communication skills
• Master’s degree in a Scientific field preferred; Doctorate degree in a Scientific field a plus

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 $112,800.00 to $257,000.00 (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.

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.