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Principal Geospatial Data Scientist

The MITRE Corporation McLean, VA

McLean, VA

Today

$171k - $256k/yr Full time ArcGIS Enterprise Artificial Intelligence Data Engineering

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Job Description

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

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