GIS Analyst for Military Mobility Modeling

CACI•Charlottesville, VA

About The Position

CACI is seeking a GIS Analyst with ArcGIS Pro Python Toolbox development experience to use the ESRI platform to develop, execute, and manage processes in coordination with project and program leadership. The role supports operations relating to foreign ground force mobility through exploratory data analysis, including data mining, aggregation, and visualization, as well as research and development into weapon system characterizations and operational capabilities. The analyst will develop and integrate ETL pipelines for geospatial and non-geospatial data into an interactive map application using ArcGIS Online Portal. Work also includes making data available in industry-standard formats and structures for use in current applications addressing ongoing and new operational intelligence questions. The analyst will develop GIS models using diverse data science tools and sources, primarily using ArcGIS Pro to visualize and predict mobility thresholds of ground-based military systems and platforms under varied environmental conditions. The role includes designing research, analyzing and modeling data, and developing process flows, visualizations, and technology development roadmaps. The position requires an active, in-scope DoD TS/SCI clearance and willingness to obtain a polygraph.

Requirements

  • Bachelor of Arts or Bachelor of Science degree in a related scientific field, such as Geographic Information Systems, Geography, Data Analysis, or Computer Science.
  • Proficiency with ArcGIS Pro toolkits, including Spatial Analyst, Spatial Statistics, and Network Analyst.
  • Ability to convert ArcGIS Desktop toolkits written in Python 2.x into ArcGIS Pro Python toolboxes written in Python 3.x.
  • At least 5 years of experience as a GIS Engineer/Analyst or in a closely related field.
  • Active, in-scope DoD TS/SCI security clearance.
  • Willingness to obtain a polygraph.
  • Ability to conduct analysis and produce comprehensive technical assessments, including independent research and technical writing.
  • Ability to work independently with minimal oversight while maintaining focus on client-defined research objectives.

Nice To Haves

  • MOS 12Y Geospatial Engineer.
  • Previous work within the intelligence community.

Responsibilities

  • Develop GIS models using a wide range of data science tools and data sources.
  • Use ArcGIS Pro to visualize and predict mobility thresholds of ground-based military systems and platforms under multiple environmental conditions and with raster and vector datasets such as topographic, weather, and road-network data.
  • Develop research designs, including formulating testable questions, identifying and defining key concepts and variables, and selecting methods appropriate to problems.
  • Analyze and model data by manipulating datasets and interpreting findings using tools and environments such as R, Python, ArcPy, MATLAB, and Excel, and techniques such as text and pattern analysis, clustering, classification, change and anomaly detection, time-series analysis, regression, geospatial analysis, and social network analysis.
  • Develop process flows, visualizations, and technology development roadmaps.
  • Develop, execute, and manage processes using the ESRI platform in coordination with project and program leadership.
  • Develop exploratory data analysis methods, including data mining, aggregation, and visualization, to support foreign ground force mobility operations.
  • Research weapon system characterizations and operational capabilities.
  • Develop and integrate ETL pipelines for geospatial and non-geospatial data into an interactive map application using ArcGIS Online Portal.
  • Ensure data is available in industry-standard formats and structures for ingestion into applications supporting operational intelligence questions.
  • Conduct analysis and produce comprehensive technical assessments that include independent research and technical writing.
  • Work independently with minimal oversight while maintaining focus on client-defined research objectives.

Benefits

  • Flexible time off benefit.
  • Learning resources and learning and development opportunities.
  • Healthcare benefits.
  • Wellness benefits.
  • Financial benefits.
  • Retirement benefits.
  • Family support benefits.
  • Continuing education benefits.
  • Time off benefits.
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