Data Scientist - Level 3

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., 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

• 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, 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., 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