Jobs · Engineering · Washington

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

Culmen International · Joint Base Lewis-McChord, WA · 1 wk ago
EngineeringFull-time

About the role

The National Geospatial-Intelligence Agency (NGA) is seeking a Mid-Level Exploitation Specialist/Data Scientist to support the Analysis Office (AOT/US SOCOM) at Joint Base Lewis-McChord, Washington.

Responsibilities

  • Coordinate with clients to understand and address questions and issues involving client datasets.
  • Determine the best method and approach to create data-driven solutions within program guidelines.
  • Develop and refine automated processes and data science solutions.
  • Design and implement automated workflows to analyze large structured and unstructured data.
  • Conduct analysis and use available tools to analyze data, identifying patterns to solve complex problems.
  • Apply big data analytic tools to large, diverse datasets 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 techniques using HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience with NET, Python, C++, and/or JAVA for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data.
  • Data Visualization experience including Matrix Analytics, Network Analytics, and Graphing Data.

Qualifications

  • Not specified.

Skills

  • Data Science
  • Data Visualization
  • Artificial Intelligence
  • Machine Learning
  • Programming (HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS)
  • Database Development
  • Data Management
  • Big Data Analytic Tools
  • Peer Reviews
  • Team Building

Benefits

  • Not specified.

Pay

  • Not specified.

Schedule

  • Not specified.

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