Spectral Scientist, Senior
Listed on 2026-01-10
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Engineering
Electrical Engineering, Research Scientist
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Leverage advanced and spe cia lized physics research expertise to test and analyze physical pheno mena , c ond uct and shape R & D programs, and to support S & T customer challenges. Apply extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentors and may supervise team members. Research and implement new met hods for hyperspectral data c ond itioning, analysis, modeling, and exploitation.
Perform radio met ric characterization and calibration of imaging systems. Perform experiment planning, ground truth spectro met er measurements and photo documentation, sensor performance verification, and data analysis. Write reports and briefings on findings. Provide subject matter expertise for certain industrial processes and weather- related remote sensing issues.
Basic Qualifications:
- 5+ years of experience supporting spectral remote sensing projects
- Experience with scientific programming languages such as Python, IDL, or Matlab
- Knowledge of hyperspectral processing and exploitation algorithms, including data calibration, atmospheric correction, target detection, and target identification
- Knowledge of physical models for remote sensing or radio met ry
- Ability to produce effective written and verbal technical communications
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree in Remote Sensing, Physics, Chemistry, Math, or Electrical Engineering
Additional Qualifications:
- 10+ years of experience supporting spectral remote sensing projects
- Experience using FSTK
- Experience developing hyperspectral processing algorithms
- Experience developing target detection or classification algorithms
- Experience in statistical met hods for spectral o r spatial analysis
- Experience in linear and non-linear met hods of classification and spectral demixing
- Experience in dimensionality reduction and sparsity promoting met hods
- Experience designing and c ond ucting experiments to understand remote sensing phenomenology or assess algorithm performance
- Knowledge of spectral sensor models and data calibration
- Master’s degree in Remote Sensing, Physics, Chemistry, Math, Electrical Engineering, or a similar technical field
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 $ (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.
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