Expert EO Imagery Scientist

• 15+ years of experience in EO, remote sensing, image processing, or image science
• 4+ years of experience leading EO projects
• Experience exploiting the electromagnetic spectrum, including electro-optical, to determine the occurrence and location of objects of interest
• Experience developing, testing, and evaluating new algorithms, processes, met hodologies, 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
• Experience communicating with a variety of technical and non-technical audiences on the availability and capabilities of EO imagery products, met hodologies, procedures, and algorithms to enhance analysis
• Experience applying CV and machine learning ( ML ) techniques to EO imagery and data to address intelligence problems
• Knowledge of collection, phenomenology, image formation processes, and exploitation products
• Knowledge of the principles of remote sensing and imagery processing, and advanced exploitation met hods
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree in Image Science, Remote Sensing, 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:

• Experience acquiring new data, potential latency asso cia ted with acquisition, data formats, and security domains
• Experience pre-processing and standardizing data to match existing data standards or be transformed into a usable state for labeling and model testing purposes
• Experience with collaboration, including with SAR Imagery Scientists to provide coincident EO imagery
• Knowledge of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
• Knowledge of the potential differences in met adata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL- related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
• Knowledge of how to investigate gaps in the emerging sensor capability that may need to be supplemented by other sources
• Master’s degree in a Science field preferred ; Doctorate degree in a Science field a plus

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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.

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.