Job Description

• Collect process data and perform data analysis.
• Integrate centralized protect and maintain data in DBMS.
• Clean massage and organized data.
• Perform ad hoc analysis and present results in a clear manner.
• Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
• Create/deploy/maintain cloud applications to support migration of data and production processes
• Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
• Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.
• Support Business Processing Re-engineering.
• Perform Data Conversion/migration
• Perform Business Analytics.

• 5 - 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JAVA scripts
• 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/ArcPro and Arc Server
• Experience with ESRI Workflow Manager, WMX and TAM
• Knowledge of database systems and architecture
• Ability writing SQL and NoSQL
• Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps
• 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

• TS/SCI Clearance with ability to obtain a CI Poly

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