Senior Data Scientist (SOM) - TS/SCI clearedLeidos

Description

Leidos has an exciting opportunity for a Senior Data Scientist (SOM) to join our growing team in Springfield, VA.  In order to be considered you must have an active TS/SCI clearance.

This unique and challenging opportunity will require our talented staff to collect, process, and perform data analysis and deliver data-driven solutions to quantitatively improve the mission area of Maritime Features, Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

Primary Responsibilities

• Apply Structured Object Management (SOM) principles (points, lines, polygons) to organize and manage geospatial data.

• Structure disparate and unstructured data into usable formats for quantitative analysis and multi-source data fusion.

• Develop and implement automated workflows and data pipelines to enhance analytic production and efficiency.

• Design and maintain ontologies and data schemas to standardize data across systems and analytic efforts.

• Utilize Python, R, or SQL to develop, optimize, and maintain analytic pipelines and data workflows.

• Provide GIS support, including advanced use of ArcGIS Pro (ArcPro) for analysis, visualization, and data management. 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.

Basic Qualification

• Typically requires a BA degree and 8 – 12 years of prior relevant experience or Master’s with 6 – 10 years of prior relevant experience.

• Must have active TS/SCI clearance

• 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 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 (latitude/longitude, UTM), and projections.

• 1 – 3 years of experience using Tableau or equivalent Business Intelligence software and server functions.

Preferred Qualifications

• Experience combining digital cartography, GIS, remote sensing, and geospatial production techniques.

• Proficiency in Feature Manipulation Engine (FME) software such as FME Workbench.

• Experience performing data analysis to identify trends, gaps, and opportunities.

• Knowledge of ESRI technologies including ArcGIS, ArcPro, and Arc Server.

• Experience with ESRI Workflow Manager (WMX/TAM).

• Knowledge of database systems and architecture.

• Ability to write SQL and NoSQL.

• Understanding of cloud architecture, infrastructure, services, and DevOps.

• Knowledge of symbolization rules.

• Familiarity with emerging AI technologies and their integration into geospatial workflows.

• Experience working with geospatial data in multi-user enterprise environments.

• Experience with data quality control tools such as ArcGIS Data Reviewer.

• Experience analyzing production systems and recommending enhancements to data science capabilities.

• Active TS/SCI CI Poly

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

April 15, 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.