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

Culmen International; Springfield (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

Culmen International is seeking a Mid-Level Exploitation Specialist/Data Scientist to provide on-site support at the National Geospatial-Intelligence Agency (NGA) in Springfield, VA. The role focuses on data-driven GEOINT solutions, AI/ML, and collaboration with stakeholders to deliver actionable insights.

The candidate will work with large data, develop automated processes, and mentor teammates, contributing to mission success for the DoD/IC community.

Qualifications

• Master's degree in Data Science or related field.
• Experience with AI/ML development.
• Strong programming skills in Python, C++, and Java.
• Experience with big data analytics and data visualization.
• Experience building and maintaining GEOINT/SIGINT/OSINT data stores.

Responsibilities

• Work with large structured/unstructured data to streamline processes.
• Lead design of solutions and refine existing processes.
• Collaborate with stakeholders to translate roadmaps into tasks.
• Apply data analysis to provide insights for decision makers.
• Mentor team members to build high-performing teams.

Skills

Exploratory data analysis

AI/ML experience

Python

C++

Java

Education

Master's degree in Data Science or related field

Tools

NET

Job description

Culmen International is hiring a Mid-Level Exploitation Specialist/Data Scientist s to provide support on-site at the National Geospatial-Intelligence Agency (NGA) in Springfield, VA, supporting an Analysis Office (AOT/US SOCOM) .

The National Geospatial-Intelligence Agency (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 in NGA, across the National System for Geospatial-Intelligence (NSG).

The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon and be expected to assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

• Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
• Lead and participate in the design of solutions and refinement of pre-existing processes
• Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map 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 quality of workflows, procedures, and methodologies
• Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge
• Possess Master's degree in Data Science or related technical field
• Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
• 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 needs.
• Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products