Data Scientist (Exploitation Specialist Level-3) - NGA - WASH
Springfield, Virginia, United States · On-site
$130k–$140k/yr
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Job ID: 20260430031757 Location: NGA - WASH _________________________________________________________________________________________________ Masego is an award-winning small business that specializes in GEOINT services.…
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Data Scientist (Exploitation Specialist Level-3) - NGA - WASH
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$130k–$140k/yr
Full-time
bachelor degree, postgraduate degree
Medical, Dental, Vision, 401k, Generous PTO
Posted 5d ago
Apply by Nov 5
~40 hrs/week
Responsibilities
The Data Scientist will work on research-style projects to improve GEOINT collection methods. They are responsible for developing creative solutions to ambiguous problems and applying analytic methodologies to intelligence data.
Requirements
Candidates must have at least 5 years of GEOINT experience or a combination of STEM degrees and relevant experience. An active TS/SCI security clearance is required, along with proficiency in Python and SQL.
Full job description
Job ID: 20260430031757 Location: NGA - WASH
___
Masego is an award-winning small business that specializes in GEOINT services. As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize and award your hard work.
Description
We are looking for a Level-3 TS/SCI-cleared Data Scientist to join our team. This position is on a team working to improve GEOINT collection methods. We are looking for a self-starter who enjoys working on research style projects, can work with ambiguous problem definitions, and excels at developing creative solutions.
Minimum Required Qualifications:
Either
At least 5+ years of related GEOINT work experience
Bachelor of Science in a STEM field and two years of relevant experience
Bachelor of Science + Masters of Science in STEM fields
Able to work on client site 40-hours a week in Springfield, Virginia 40 hours a week (no telework)
Proficient with Python and SQL
Knowledge of GEOINT collection
Preferred Qualifications:
Experience with multi-INT data
Experience applying machine learning algorithms to intelligence data
Proficiency with common programming languages including JavaScript, HTML, and CSS
Experience with JEMA or low side equivalents (ESRI Model Builder, Alteryx, Tableau Prep)
Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies
Security Clearance Requirement:
Active TS/SCI, with a willingness to take a polygraph test.
Salary Range: $130,000 based on ability to meet or exceed stated requirements
About Masego
Masego Inc. provides expert Geospatial Intelligence Solutions in addition to Activity Based Intelligence (ABI) and GEOINT instructional services. Masego provides expert-level Geospatial Collection Management, Full Motion Video; Human Geography; Information Technology and Cyber; Technical Writing; and ABI, Agile, and other professional training.
Masego is a Service-Disabled Veteran-Owned Small Business headquartered in Fredericksburg, Virginia. With high-level expertise and decades of experience, coupled with proven project management systems and top-notch client support, Masego enhances the performance capabilities of the Department of Defense and the intelligence community.
Pay and Benefits
We seek to provide and take care of our team members. We currently offer Medical, Dental, Vision, 401k, Generous PTO, and more!
Diversity
Masego, Inc. is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all applicable Federal and Virginia State laws, regulations, and executive orders regarding nondiscrimination and affirmative action in its programs and activities. Masego, Inc. does not discriminate on the basis of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status.
Related keywords
Data ScientistGEOINTPythonSQLMachine LearningTS/SCIIntelligenceJavaScriptHTMLCSSJEMAESRI Model BuilderAlteryxTableau PrepSTEMGeospatial Intelligence
Our mission is to provide expertise in GEOINT and human geography analysis, data science, and professional training to the Department of Defense, intelligence, federal, and security communities, through a cadre of proven analysts, robust and dynamic training, and state-of-the-art technology solutions.
Masego Inc. began in 2013 as a Service-Disabled Veteran-Owned Small Business (SDVOSB) with one employee supporting the National Geospatial-Intelligence Agency.
Since then, we have expanded across multiple contracts within the intelligence community and focused on delivering client-centric service. We are an SBA-certified 8(a) firm, and have been recognized as one of Inc. 5000’s Fastest-Growing Private Companies in America, Vet 100’s Fastest-Growing Veteran-Owned Companies, and awarded the DoD’s Mentor Protégé Program’s Nunn-Perry Award.
Our portfolio of expertise includes GEOINT, human geography, professional training, data science, and custom services. Our corporate culture prides itself on dedication to the mission while bringing a wealth of knowledge across
multiple disciplines, delivering sound solutions, and exponential impact. We are agile, adaptable, and continual learners, eager to conquer new challenges and enhance organizations.
Offices: 10 Center St, Suite 103, Stafford, Virginia 22556, US
How much do Government & Public Sector jobs in Springfield, VA pay?
Based on 327 listings with disclosed salaries, most government & public sector jobs in Springfield, VA pay between $75k–$182k per year. Individual offers vary with seniority, company size, and specialization.
How many Government & Public Sector jobs are open in Springfield, VA right now?
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Companies currently hiring include CACI International Inc, Mission Technologies, a division of HII, Leidos, Allen Integrated Solutions LLC, Booz Allen Hamilton, among others. Browse the listings above to see every active employer.
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