Senior Data Scientist (SOM) - TS/SCI cleared

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.

• 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.

• 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