Senior Geospatial Data Scientist

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• Senior Geospatial Data Scientist

• An understanding of Transnational Criminal Organizations (TCOs) operating within the USSOUTHCOM AOR
• An understanding of coca cultivation and production areas
  Familiarity with Intelligence Community Directive (ICD) 203 (Analytic Standards) and ICD 206
• An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning
• Must be able to operate at a senior level and in an independent environment.
• Must be proficient at creating processes around large data sets to identify analytical discoveries
• Must be able to script at a Senior Level in python.
• Must be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations.

• 5 – 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python scripts
• An understanding of how to operationalize the analytic output—shape/frame it in a way that supports operational planning
• Knowledge and experience using version control tools such as Git
• 3-5 years’ experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics.
• 3-5 years of demonstrated experience performing geospatial data management, including data type conversions, coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions.
• 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.

• Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats.
• Proficient in Feature Manipulation Engine (FME) software such as FME Workbench
• Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/Arc Pro and Arc Server
• Experience with ESRI Workflow Manager, WMX and TAM
• Knowledge of database systems and architecture
• Ability writing SQL and No
  
  SQL
• Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and Dev Ops
• Knowledge of symbolization rules.
• Experience working with geospatial data in multiuser enterprise environment.
• 2 years of experience working with data quality control, tools, including ArcGIS data reviewer
• Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities