Mid-Level Exploitation Specialist/Data Scientist (TS/SCI)

About the role

HOT JOB - IMMEDIATE OPENING!!! Culmen International is hiring a Mid-Level Exploitation Specialist/Data Scientist to provide on-site support at the National Geospatial-Intelligence Agency (NGA) in Springfield, VA, supporting an Analysis Office (AOT/US SOCOM). NGA expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content, enabling rapid creation of discoverable, modular, web‑enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers across NGA and the National System for Geospatial‑Intelligence (NSG). The Data Scientist will coordinate with clients to understand questions and issues involving their datasets, then determine the best method and approach to create data‑driven solutions within program guidelines.

Responsibilities

• Assist in the development of automated processes, architect data science solutions, automate workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve complex DoD and Intelligence Community problems.
• Work with large structured/unstructured data in a modeling and analytical environment to define and create streamlined processes for evaluating unique datasets and solving challenging intelligence issues.
• Lead and participate in the design of solutions and refinement of pre‑existing processes.
• Collaborate with Customer Stakeholders, Program Managers, and Product Owners to translate roadmap features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks.
• Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data.
• Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers.
• Research and implement optimization models, strategies, and methods to inform data management activities and analysis.
• Apply big‑data analytic tools to large, diverse sets of data to deliver impactful insights and assessments.
• Conduct peer reviews to improve the quality of workflows, procedures, and methodologies.
• Help build high‑performing teams; mentor team members, providing development opportunities to increase technical skills and knowledge.

Requirements

• Master's degree in Data Science or a related technical field.
• Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML).
• Demonstrated experience of advanced programming techniques using one or more of: HTML5/JavaScript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
• Experience using .NET, Python, C++, and/or Java programming for web interface development and geodatabase development.
• Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest.
• Data visualization experience which may include Matrix Analytics, Network Analytics, Graphing Data to assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products.