Imagery Scientist

Imagery Scientist

Key Role:

Leverages advanced and specialized physics research expertise to test and analyze physical phenomena, captured with electro-optical imaging systems, conduct and shape R&D programs, and to support S&T client challenges. Develops innovative solutions to complex problems. Works without considerable direction, and mentors and supervises team members, as needed.

Basic Qualifications:

• 15+ years of experience with electro-optical (EO) imagery including collection, phenomenology, image formation process, and exploitation products
• 15+ years of experience applying the principles of remote sensing, imagery processing, and advanced exploitation methods to generate products and outcomes
• 8+ years of experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery, including utilizing processing tools such as Python or MATLAB, to automate scientific processes of EO imagery data
• Ability to communicate with a variety of technical and non-technical audiences on availability and capabilities of EO imagery products and methodologies
• Active TS/SCI clearance; willingness to take a polygraph exam
• HS diploma or GED and 18+ years of experience with image science and remote sensing platforms, sensors, algorithms, advanced image processing tools, and data platforms, Bachelor’s degree in a Science, Technology, Engineering, or Mathematics (STEM) field and 15+ years of experience with image science and remote sensing platforms, sensors, algorithms, advanced image processing tools, and data platforms, Master's degree in a Science, Technology, Engineering, or Mathematics (STEM) field and 13+ years of experience with image science and remote sensing platforms, sensors, algorithms, advanced image processing tools, and data platforms, or Doctorate degree in a Science, Technology, Engineering, or Mathematics (STEM) field and 10+ years of experience with image science and remote sensing platforms, sensors, algorithms, advanced image processing tools, and data platforms

Additional Qualifications:

• Knowledge of modern machine learning and computer vision technology

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 application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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.