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À propos
Springfield, VA contract TS/SCI $90,000 - $115,000 Job Description
Job Title:
Data Scientist - Level 3 (Mid-Level) Location:
Springfield, VA (Onsite - NGA Campus) Clearance:
Active TS/SCI (Willingness to obtain CI Polygraph) Employment Type:
Full-Time Education: Bachelor's degree in a STEM or Data Science-related field required
Advanced degree (MS) preferred
Years of Experience: Meets GEO-SPI Level 3 requirements (5 experience points), which equates to: 5+ years of relevant experience, OR
Bachelor's degree + 2+ years of relevant experience, OR
Bachelor's + Master's degree in a STEM field
Overview
This position supports a GEOINT-focused team on an effort at NGA. The team is responsible for improving GEOINT collection methods through advanced analytics, data science, and research-driven initiatives. This role is ideal for a self-starter who thrives in ambiguous environments, enjoys research-style problem solving, and can develop creative, data-driven solutions to complex intelligence challenges. Candidates will be evaluated on a rolling basis, and the most qualified candidate will be selected. Key Responsibilities
Data Science & Analytics Apply data science methodologies to support and enhance GEOINT collection strategies
Develop and implement analytical models using structured and unstructured intelligence data
Apply machine learning algorithms to intelligence datasets to identify patterns and insights
Research & Innovation Work on research-oriented projects with loosely defined problem sets
Develop innovative approaches to improve intelligence collection and analysis
Test and validate new analytic methodologies
Data Integration & Processing Work with multi-INT datasets to support mission objectives
Utilize data preparation and transformation tools to structure intelligence data for analysis
Integrate data across multiple intelligence systems and platforms
Collaboration & Mission Support Collaborate with cross-functional teams across NGA and partner organizations
Support evolving mission needs in a fast-paced, dynamic environment
Continuously adapt to new tools, technologies, and analytic frameworks
Required Skills
Hard Requirements: Active TS/SCI clearance with willingness to obtain a CI polygraph Ability to work onsite in Springfield, VA (40 hours/week, no telework) Strong proficiency in Python Experience applying data science or analytics in a professional setting Ability to work independently in ambiguous, research-driven environments Preferred Skills Knowledge of GEOINT collection and NGA/NRO systems Experience with tools such as JEMA or low-side equivalents (ESRI Model Builder, Alteryx, Tableau Prep) Experience with Activity-Based Intelligence (ABI) Experience applying machine learning techniques to intelligence data Experience working with multi-INT datasets Familiarity with additional programming languages (JavaScript, HTML, CSS) Strong ability to learn new technologies and adapt to evolving mission requirements
Compétences linguistiques
- English
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