Leidos · 2 months ago
Geospatial Mission Solutions Data Scientist
Springfield, VA
Full-time
Onsite
Mid, Senior Level
$72K/yr - $130K/yr
6+ years expLeidos is seeking a Geospatial Mission Solutions Data Scientist to elevate critical national-level missions through innovation and data-driven insights. The role involves applying data science to geospatial capabilities, supporting customer missions, and developing advanced analytic solutions.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
Responsibilities
Provide embedded GEOINT/ Data Science expertise to assure continuity of data provision to the customer
Statistical analysis and modeling of in-house created data
Automating repetitive data management tasks
Clean, convert, migrate, and organize 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. This may include data visualization of disparate sources via dashboards that can be understood by nontechnical audiences
Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including rasters, vectors, text, and other source databases
Write/maintain Python scripts for various environments and software including ArcGIS to improve efficiency of the production process
Deliver service solutions that integrate best practices to modernize current practices
Perform data Investigations on complex problems using applied statistics, building algorithms and collaborating with domain expertise to convey complicated realities to non-technical audience
Ensure new workflows can be integrated seamlessly with modernized database applications and enterprise-level APls
Data visualization of production metrics of in-house created data
Qualification
Required
Typically requires a BA degree and 8 – 12 years of prior relevant experience or Masters with 6 – 10 years of prior relevant experience
5 – 7 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and JavaScript
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
Knowledge and experience using version control tools such as Git
Knowledge and experience using GIS tools such as QGIS and/or ArcGIS
Knowledge and experience using PostgreSQL, Postgis, PgAdmin
Knowledge and experience using Application programming interfaces (APIs)
Knowledge and experience using applied statistics
Knowledge and experience building algorithms
Preferred
Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing, photography, and digital data formats
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
Knowledge of database systems and architecture
Ability writing SQL and NoSQL
Understanding of cloud architecture, infrastructure, services (including geospatial specific microservices), and DevOps
Experience working with geospatial data in multiuser enterprise environment
Experience with analyzing existing production systems and providing feature recommendations to enhance data science capabilities
Experience working with DataBricks
Experience working with Apache Spark
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
10001+ employees
H1B Sponsorship
Leidos has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (65)
2024 (58)
2023 (77)
2022 (65)
2021 (56)
2020 (89)
Funding
Current Stage
Public CompanyTotal Funding
unknown2025-02-20Post Ipo Debt
2013-09-17IPO
Leadership Team
James Carlini
Chief Technology Officer
Theodore Tanner
Chief Technology Officer
Recent News
MarketScreener
2025-12-16
2025-12-16
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