The National Geospatial-Intelligence Agency (NGA) is looking to advance the modernization of intelligence operations through the strategic use of data analytics and artificial intelligence.
Requirements
- Solid experience in Python to develop and deploy AI/ML solutions for workflow automation, data analysis, and mission-focused intelligence operations
- Demonstrated ability to quickly learn new technologies and adapt tools and techniques to dynamic mission requirements
- Experience working with various intelligence types (e.g., GEOINT, OSINT, SIGINT, ELINT, MASINT, HUMINT) to support multi-source data fusion and analysis
- Familiarity with geospatial tools and platforms (e.g., JEMA, Brewlytics, ArcPro) to enable advanced spatial data analysis
- Understanding of GEOINT collection methods and NGA/NRO systems to design data science solutions aligned with operational workflow
- Proficiency with common programming languages (e.g., R, SQL, HTML, JavaScript, etc.) to build scalable, data-driven applications
- Expertise in advanced AI technologies (e.g., NLP, LLM integration, RAG development) to develop applications that automate complex tasks and enhance data retrieval
Responsibilities
- Developing and deploying sophisticated analytical models and AI-enabled tools that drive smarter GEOINT collection strategies
- Automating intelligence workflows
- Enhancing mission effectiveness
- Leading and executing complex analytical tasks with minimal supervision
- Leveraging expertise in Python and AI tool development to create operational-grade capabilities
- Collaborating closely with government stakeholders and multidisciplinary teams to translate mission challenges into innovative data solutions
- Maintaining high technical standards throughout the development lifecycle
Other
- Active TS/SCI Clearance
- At least 5 years of relevant experience in lieu of degree
- Or an Associate’s degree with at least 3 years of relevant experience
- Or a Bachelor's degree with at least 2 years of relevant experience
- Or a Master’s degree in a relevant field
