Principal Geospatial Data Scientist

MITRE is seeking a Principal Geospatial Data Scientist to support the National Geospatial-Intelligence Agency (NGA) Enterprise Geographic Information System (EGIS) platform, with work focused on geospatial data science and modernization of a unified Kubernetes-based ArcGIS Enterprise environment.

Responsibilities

• Support geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal R&D, and corporate strategic initiatives
• Stay current on open-source, industry, academic, and U.S. Government techniques and tools across geospatial data science, modeling, analysis, visualization, and engineering
• Apply spatial data science methods to address customer challenges, including:
  • Geospatial statistics
  • Spatial optimization
  • Spatial pattern analysis
  • Geospatial artificial intelligence
  • Spatial autocorrelation
  • Activity-based intelligence
  • Imagery analysis
  • Remote sensing
  • Geospatial data visualization approaches
• Build and test geospatial prototypes in MITRE, government, and commercial cloud environments

Requirements

• Minimum experience requirement (typically):
  • 10 years with a bachelor’s degree, or
  • 8 years with a master’s degree, or
  • PhD with 5 years of relevant hands-on experience using Geospatial Information Science techniques
• Applied experience with common GIS tools, including developing geospatial workflows and producing maps, charts, and visualizations
• Familiarity with geospatial data architectures, spatial database design and management, and containerization concepts
• Experience leading technical development across multi-disciplinary teams
• Experience using ArcGIS and Esri capabilities for analysis
• Applied experience in GIS enterprise requirements management
• Experience leading or conducting research
• Active Top Secret/SCI with CI polygraph U.S. Government security clearance
• Ability to be on-site minimum 4 days a week
• Experience with data architecture containerization concepts, such as Docker or Kubernetes

Technologies

• ArcGIS Enterprise, ArcGIS, Esri
• Kubernetes, Docker
• MS SQL Server, PostgreSQL, Oracle
• GIS, GeoAI, GeoInformatics
• Remote sensing, Geosimulation
• Spatiotemporal graphs

Preferred Qualifications

• Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline
• Experience with data architecture containerization concepts, such as Docker or Kubernetes
• Applied experience in architecting, resourcing, deploying, and administering a GID enterprise, including physical and virtual machines, cloud-based components, and remote application delivery serving hundreds of users
• Applied experience applying spatial modeling and analysis techniques to domains including atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain
• Applied experience maintaining multiple enterprise relational database management systems hosted in MS SQL Server, PostgreSQL, Oracle, or similar

Security Clearance

• Required clearance for candidates: Top Secret/SCI/Polygraph
• Must have or obtain within one year from date of hire: Top Secret/SCI/Polygraph

Compensation and Location

• Salary range: $171,000 - $256,000 annually (midpoint: $213,500)
• Work location type: Onsite
• Location: McLean, VA