Leidos · 4 hours ago
Senior Data Scientist
Leidos is actively interviewing for a Senior Data Scientist to join their team in Springfield, VA. The role involves collecting, processing, and analyzing data to deliver data-driven solutions, particularly in the area of Maritime Features, while also supporting various business analytics and cloud application development tasks.
ComputerGovernmentInformation ServicesInformation TechnologyNational SecuritySoftware
Responsibilities
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
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 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
Preferred
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
Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows
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
Company
Leidos
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.
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
Recent News
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2025-12-16
2025-12-16
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