Spectral Image Scientist, Senior

Booz Allen Hamilton; Springfield (VA); Hybrid; USD 99,000 - 225,000; Full time

Job summary

An established industry player is looking for a Senior Spectral Image Scientist to leverage advanced physics research expertise. In this role, you will tackle complex challenges in remote sensing and image processing, guiding a team while developing innovative solutions. With a focus on collaboration and mentorship, you'll work closely with intelligence agencies and contribute to R&D programs. This dynamic position offers a unique opportunity to make significant contributions to cutting-edge projects while enjoying a supportive work environment that prioritizes your well-being and professional growth.

Benefits

Health Benefits

Tuition Assistance

Work-Life Programs

Paid Leave

Professional Development

Retirement Benefits

Recognition Awards

Flexible Work Options

Qualifications

• 7+ years in remote sensing and image science.
• Experience with hyperspectral and multispectral imagery.
• Ability to parse code in multiple programming languages.

Responsibilities

• Conduct R&D programs and support client challenges.
• Mentor team members and develop innovative solutions.
• Analyze physical phenomena using advanced techniques.

Skills

Remote Sensing

Image Processing

Spectral Analysis

Data Analysis

Programming (Python, MATLAB)

Collaboration with Intelligence Agencies

Technical Mentorship

Education

Bachelor's in Image Science

Master's in Scientific Field

Tools

IDL

MATLAB

C++

ArcGIS

Harris' ENVI

MS Office Suite

Amazon C2S Cloud

Job description

Your growth matters to us - explore our career development opportunities.

BE EMPOWERED TO SUCCEED

Connect with others in our people-first culture and enhance our collective ingenuity.

SUPPORT YOUR WELLBEING

Learn how we’ll support you as you pursue a balanced, fulfilling life.

YOUR CANDIDATE JOURNEY

Discover what to expect during your journey as a candidate with us.

Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and to 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.

Basic Qualifications:

7+ years of experience in the field of remote sensing, image processing, or image science

3+ years of experience with applied image processing and scientific analysis of spectral image data with commercial and civil data sources

Experience with techniques, algorithms, and spectroscopic analysis required for processing hyperspectral or multispectral imagery from airborne or space-borne systems

Experience collaborating with national and service intelligence agencies or centers, including imagery collection and exploitation and GEOINT

Experience in MS Outlook, Word, PowerPoint, Access, and Excel

Knowledge of spectral imaging, phenomenology, and processing techniques

Knowledge of overhead intelligence collection systems

Ability to parse code and scripts in IDL, JAVA, MATLAB, Python, or R

TS/SCI clearance with a polygraph

Bachelor's degree in Image Science, Remote Sensing, Earth Science, Physical Science, Engineering, Computer Science, or Statistics

Additional Qualifications:

Experience developing and delivering lesson material in a formal classroom environment or for digital recording in video or CBT format, and with microlearning, video editing, and lesson plan development principles

Experience with MS SharePoint

Experience working with manmade irradiance sources, including LEDs and other lights in an optics or remote sensing context

Experience with signature library development and using Harris' ENVI COTS image processing software or ERDAS IMAGINE

Experience with sensor design principles and their relationship to sensor performance

Experience in tool development and software coding in IDL, MATLAB, C++, or Python, and with the development and use of APIs

Experience in atmospheric science and with GIS software and methodological principles, especially ArcGIS

Experience with the Amazon C2S cloud infrastructure framework, including PKIs and content and access security constraints

Master's degree in a Scientific, Social Science, or Security field

Completion of training in remote sensing, earth science, physical science, engineering, or mathematical disciplines

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 with polygraph 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.

Spectral Image Scientist, Senior

Key Role:

Leverage advanced and specialized physics research expertise to test and analyze physical phenomena, conduct and shape R&D programs, and to 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.

Basic Qualifications:

• 7+ years of experience in the field of remote sensing, image processing, or image science

• 3+ years of experience with applied image processing and scientific analysis of spectral image data with commercial and civil data sources

• Experience with techniques, algorithms, and spectroscopic analysis required for processing hyperspectral or multispectral imagery from airborne or space-borne systems

• Experience collaborating with national and service intelligence agencies or centers, including imagery collection and exploitation and GEOINT

• Experience in MS Outlook, Word, PowerPoint, Access, and Excel

• Knowledge of spectral imaging, phenomenology, and processing techniques

• Knowledge of overhead intelligence collection systems

• Ability to parse code and scripts in IDL, JAVA, MATLAB, Python, or R

• TS/SCI clearance with a polygraph

• Bachelor's degree in Image Science, Remote Sensing, Earth Science, Physical Science, Engineering, Computer Science, or Statistics

Additional Qualifications:

• Experience developing and delivering lesson material in a formal classroom environment or for digital recording in video or CBT format, and with microlearning, video editing, and lesson plan development principles

• Experience with MS SharePoint

• Experience working with manmade irradiance sources, including LEDs and other lights in an optics or remote sensing context

• Experience with signature library development and using Harris' ENVI COTS image processing software or ERDAS IMAGINE

• Experience with sensor design principles and their relationship to sensor performance

• Experience in tool development and software coding in IDL, MATLAB, C++, or Python, and with the development and use of APIs

• Experience in atmospheric science and with GIS software and methodological principles, especially ArcGIS

• Experience with the Amazon C2S cloud infrastructure framework, including PKIs and content and access security constraints

• Master's degree in a Scientific, Social Science, or Security field

• Completion of training in remote sensing, earth science, physical science, engineering, or mathematical disciplines

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 with polygraph 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.