EO Imagery Scientist

Booz Allen Hamilton

$99K — $225K *
Aerospace & Defense
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 15+ years of experience in EO, remote sensing, image processing, or image science
  • 4+ years of experience as an EO expert
  • Expertise in exploiting the electromagnetic spectrum for object location
  • Proficient in developing and evaluating algorithms for EO imagery using Python, MATLAB, and Google Earth Engine
  • Strong communication skills for diverse technical and non-technical audiences
  • Experience applying CV and machine learning techniques to EO imagery
  • Must have TS/SCI clearance and a relevant STEM bachelor's degree

Responsibilities

  • Leverage advanced physics research to analyze physical phenomena
  • Conduct and shape R&D programs addressing client science and technology challenges
  • Develop innovative solutions to complex image science problems
  • Mentor and supervise team members in image processing tasks
  • Communicate effectively about EO imagery capabilities and analysis methodologies

Benefits

  • Comprehensive health, life, and disability insurance
  • Professional development and tuition assistance
  • Paid leave and work-life balance programs
  • Recognition awards for exceptional performance
  • Opportunities for part-time and flexible working arrangements
Full Job Description
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 consulting skills and extensive technical expertise, including full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction, and mentor and supervise team members.

You Have:

  • 15+ years of experience in EO, remote sensing, image processing, or image science
  • 4+ years of experience as an EO expert
  • 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, 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
  • Experience communicating with a variety of technical and non-technicalaudiences on the availability and capabilities of EO imagery products, methodologies,procedures, and algorithms to enhance analysis
  • Experience applying CV and machine learning (ML) techniques to EO imageryand data to address intelligence problems
  • Knowledge of collection, phenomenology, imageformation processes, and exploitation products
  • Knowledge of the principles of remote sensing and imagery processing,and advanced exploitation methods
  • TS/SCI clearance
  • Bachelor's degree in Image Science, Remote Sensing, Earth Science, Physical Science, CS, Statistics, or a STEM field

Nice If You Have:

  • Experience acquiring new data, potential latency associated with acquisition, dataformats, and security domains
  • Experience pre-processing and standardizing data to match existing data standardsor 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 metadata, data format, and data structure characteristics regarding changes to databases, schemas, APIs, and other ETL-related processes for theingestion and movement of data when integrating into the existing data operationspipeline
  • Knowledge of how to investigate gaps in the emerging sensor capability that may need to be supplementedby other sources
  • Master's degree in a Science field preferred;Doctorate degree in 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 Allen92s 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 individual92s 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 Allen92s 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.

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