Senior Data Scientist

Leidos is actively interviewing for a Senior Data Scientist to join our team in Springfield, VA.

This team member will collect, process, and perform data analysis and deliver data driven solutions to quantitative improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

Duties:

• 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.

Skills and Experience

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.

Desired

• 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

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

Original Posting:
January 2, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:
Pay Range $92,300.00 - $166,850.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.