Sr. Exploitation Specialist/Data Scientist (TS/SCI)

About the role

The Sr. Exploitation Specialist/Data Scientist will support the Analysis Office (AOT/US SOCOM) at the National Geospatial-Intelligence Agency (NGA) in Sneads Ferry, NC, delivering AOS Metadata Cataloging and Management Services. The role involves understanding client datasets, creating data-driven solutions, leading process development, and analyzing large, diverse datasets.

Responsibilities

• Coordinate with clients to understand and address their data-related questions and issues
• Determine the best method and approach to create data-driven solutions within program guidelines
• Lead and assist in the development of automated processes and data science solutions
• Design and refine existing processes in collaboration with stakeholders
• Translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
• Conduct exploratory data analysis to identify meaningful relationships, patterns, or trends from complex data
• Implement optimization models, strategies, and methods to inform data management activities and analysis
• Use big data analytic tools to deliver impactful insights and assessments
• Conduct peer reviews to improve workflow, procedures, and methodologies
• Build high-performing teams and mentor team members to enhance their technical skills and knowledge

Requirements

• Possess a Master's degree in Data Science or a related technical field
• Experience developing and working with AI/ML
• Advanced programming experience with HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS, NET, Python, C++, and/or JAVA
• Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data
• Data Visualization experience including Matrix Analytics, Network Analytics, and Graphing Data

Qualifications

• Experience in applying mathematical techniques and programming skills to data analysis
• Ability to adapt to mission requirements and solve complex problems
• Knowledge of web interface development and geodatabase development

Skills

• Data Science
• Machine Learning
• Artificial Intelligence
• Programming (HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS, NET, Python, C++, JAVA)
• Data Visualization

Benefits

Not specified

Pay

Not specified

Schedule

Not specified