Leidos · 5 hours ago
Data Scientist - Mid Level
Springfield, VA
Full-time
Onsite
Mid Level
$73K/yr - $133K/yr
4+ years expLeidos is actively interviewing for a Mid Level Data Scientist to join their team in Springfield, VA. This role involves collecting, processing, and performing data analysis to deliver data-driven solutions that improve various mission areas related to Maritime Features.
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
Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes
Assist with creation/maintenance of 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
Assist in providing support to Business Processing Re-engineering
Perform Data Conversion/migration
Assist with development and performance of automated Business Analytics
Qualification
Required
Typically requires a BA degree and 4 – 8 years of prior relevant experience or Master's with 2 – 6 years of prior relevant experience
1 – 3 years of experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics
1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions
3 - 5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, scripts and familiar familiarity of querying with SQL
Knowledge and experience using developing code using versions control tools like get advance, knowledge and data science, including the areas of data services, modeling, and analytics
Preferred
1 – 3 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
Experience in combining digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats
Experience building dashboards/websites portraying data analytics
Experience cleansing, structuring, large sets of data
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
Understanding, cloud architecture, and Dev Ops
Knowledge of symbolization rules
Knowledge of generalization rules
Experience working with geospatial data in multiuser enterprise environment
Minimum 2 years of experience working with data quality control, tools, including ArcGIS data reviewer
Knowledge of metrics dissemination
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
Ability to convert structure data into structured Data
Benefits
Health and Wellness programs
Income Protection
Paid Leave
Retirement
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
Company data provided by crunchbase