Expert EO Imagery 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:

• 15+ years of experiencein EO, remotesensing, image processing, or image science

• 4+ years of experience leading EO projects

• Experienceexploiting the electromagnetic spectrum, including electro-optical, to determine the occurrence and location of objects of interest

• Experiencedeveloping, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery, including utilizing advanced processing tools such as Python, MATLAB, and Google Earth Engine, to automate scientific processes of EO imagery data to aid analysis

• Experiencecommunicating with a variety of technical and non-technical audiences on the availability and capabilities of EO imagery products, methodologies, procedures, and algorithms to enhance analysis

• Experienceapplying CV and machine learning (ML)techniques to EO imagery and data to address intelligence problems

• Knowledgeof collection, phenomenology, image formation processes, and exploitation products

• Knowledgeof the principles of remotesensing and imagery processing, and advanced exploitation methods

• Active TS/SCI clearance; willingness to take a polygraph exam

• Bachelor's degreein Image Science, RemoteSensing, Earth Science, Physical Science, CS, Statistics, or a STEM field and 15+ years of experience in EO, or 20+ years of experience in EO in lieu of a degree

Nice If You Have:

• Experienceacquiring new data, potential latency associated with acquisition, data formats, and security domains

• Experiencepre-processing and standardizing data to match existing data standards or be transformed into a usable state for labeling and model testing purposes

• Experiencewith collaboration, including with SAR Imagery Scientists to provide coincident EO imagery

• Knowledgeof potential differences between new sensor characteristics and capabilities compared to currently utilized platforms

• Knowledgeof the potential differences in metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and otherETL-relatedprocesses for the ingestion and movement of data when integrating into the existing data operations pipeline

• Knowledgeof how to investigate gaps in the emerging sensor capability that may need to be supplemented by other sources

• Master's degreein a Science field preferred;Doctorate degreein a Science field a plus

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.

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.