Base: $73,450.00 - $132,775.00; bonus/equity: not ...
Fully remote
Geospatial data science
Data analysis and modeling
Python and javascript scripting
Leidos is seeking a Geospatial Mission Solutions Data Scientist to enhance national-level missions through data-driven insights and geospatial data science. The role demands expertise in data management, statistical analysis, and programming, particularly in Python and GIS tools, to transform geospatial data into actionable intelligence
Job Summary
Elevate critical national-level missions through innovation, data-driven insight, and advanced analytic solutions.
Apply data science to real-world intelligence challenges, blending hands-on problem solving with forward-looking solution development.
Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
Matching Summary
Match Score: 85
Leidos is seeking a Geospatial Mission Solutions Data Scientist to enhance national-level missions through data-driven insights and geospatial data science. The role demands expertise in data management, statistical analysis, and programming, particularly in Python and GIS tools, to transform geospatial data into actionable intelligence.
Salary
Base: $73,450.00 - $132,775.00; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Geospatial data science
Data analysis and modeling
Python and JavaScript scripting
Geospatial data management
Applied statistics and algorithms
Version control with Git
GIS tools (QGIS/ArcGIS)
Nice-to-have
Transforming data into actionable intelligence
Communicating complex analysis to non-technical audiences
Innovation and forward-looking solution development
Customer mission support
Key Requirements
8-12 years relevant experience with BA or 6-10 years with Masters
5-7 years programming skills (Python, JavaScript)
3-5 years data science experience
3-5 years geospatial data management experience
Experience with PostgreSQL, Postgis, PgAdmin
Experience with APIs
Experience with applied statistics and building algorithms