Summary

Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information using advanced scientific methodologies, algorithms, and software tools. They collaborate with analysts to understand intelligence issues, provide scientific results to conduct intelligence production, and educate stakeholders on product capabilities. They develop, test, an

Duties

["ADDITIONAL INFORMATION: Spectral Imagery Scientists process, analyze, and exploit spectral imagery to extract intelligence and geospatial information. They collaborate with analysts to understand intelligence issues and provide scientific results to conduct intelligence production. They develop, test, and evaluate prototypes; and provide technical guidance to enhance spectral imaging capability, applicability, and collection. They represent NGA's interests to support the development and improvement of sensors and system architecture."]

Requirements

SPECIAL INFO: As a condition of employment at NGA, persons being considered for employment must meet NGA fitness for employment standards. - U.S. Citizenship - Security Clearance - Top Secret /Sensitive Compartmented Information (SCI) - Polygraph & Drug Test - Direct Deposit - Trial Period during which we will evaluate your fitness and whether your continued employment advances the public interest. We may consider: performance conduct; needs and interests of the agency; and whether your continued employment would advance organizational goals of the agency or the Government and the efficiency of the Federal service SPECIAL REQUIREMENTS: You must be able to obtain and retain a Top Secret security clearance with access to SCI. In addition, you are subject to a Counterintelligence Polygraph examination in order to maintain access to Top Secret information. All employees are subject to a periodic examination on a random basis in order to determine continued eligibility. Refusal to take the examination may result in denial of access to Top Secret information, SAP, or unescorted access to SCIFs. Employees with SCI access and who are under NGA cognizance are required to submit a Security Financial Disclosure Report, SF-714, on an annual basis in order to determine continued eligibility. Failure to comply may negatively impact continued access to Top Secret information, Information Systems, SAP, or unescorted access to SCIFs. NGA utilizes all processes and procedures of the Defense Civilian Intelligence Personnel System (DCIPS). Non-executive NGA employees are assigned to five distinct pay bands based on the type and scope of work performed. The employee's base salary is established within their assigned pay band based on their unique qualifications. A performance pay process is conducted each year to determine a potential base pay salary increase and/or bonus. An employee's annual performance evaluation is a key factor in the performance pay process. This position is a DCIPS position in the Excepted Service under 10 U.S.C. 1601. DoD Components with DCIPS positions apply Veterans' Preference to preference eligible candidates as defined by Section 2108 of Title 5 USC, in accordance with the procedures provided in DoD Instruction 1400.25, Volume 2005, DCIPS Employment and Placement. If you are an external applicant claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must self-identify your eligibility.

Qualifications

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement: Experience developing workflows or techniques to automate imagery, raster, and/or 3D data processing and exploitation activities Experience with imagery science, photogrammetry, spectroscopy, lidar/3D, multispectral, hyperspectral, SAR, and/or thermal image processing Experience developing remote sensing analytic techniques or tradecraft to solve scientific or operational intelligence problems Experience developing and presenting findings to both technical and non-technical audiences via written reports and/or oral briefings Experience collaborating across interdisciplinary teams to achieve operational and/or scientific objectives EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Engineering, Imagery Science, Mathematics, Physical Science, Remote Sensing, Geography, Computer Science, Data Analytics, or a related discipline that included 24 semester hours in Physical Science and/or related Engineering Science such as Dynamics, Electronics, Mechanics, and Properties of Materials. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A that included at least 24 semester hours in Physical Science and/or related Engineering Science, plus experience that involves processing, analyzing, and exploiting multibanded imagery to extract intelligence and geospatial information, or a related field that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. PHYSICAL REQUIREMENT: Near visual acuity of 20/60 or better with or without corrective lenses DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired: Experience researching and applying analytical techniques from published academic literature to operational remote sensing problems Experience with software development or scripting (e.g., Matlab, Python, C ) to automate imagery, raster, and/or 3D data processing Application of artificial intelligence, machine learning, computer vision, and/or automated feature extraction concepts to remote sensing data Experience designing, operating, or calibrating satellite, airborne, or ground imaging systems and chemical analysis instruments Experience with remote sensing processing tools (e.g., RemoteView, ENVI, SocetGXP, ARCGIS Pro, Google Earth Engine)