Senior Data Scientist; SOM - TS​/SCI cleared Security Clearance

Position: Senior Data Scientist (SOM) - TS/SCI cleared with Security Clearance
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- 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 (Arc Pro) 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, Arc Pro, and Arc Server.
* Experience with ESRI Workflow Manager (WMX/TAM).
* Knowledge of database systems and architecture.
* Ability to write SQL and No

SQL.
* Understanding of cloud architecture, infrastructure, services, and Dev Ops.
* 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…