Data Scientist - Mid Level

Leidos is actively interviewing for a Mid Level Data Scientist to join our team in Springfield, VA. This new team member will work with 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.

• Collect, process data and perform data analysis.
• Integrate, protect and maintain data in a centralized DBMS.
• Clean, massage and organize 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 and maintenance of cloud applications to support migration of data and production processes.
• Assist with creation and maintenance of tools to extract feature data and metadata from a variety of sources, including raster to vector, vector to text and database.
• Write and maintain Python scripts in ArcGIS to improve efficiency of the production process.
• Assist in providing support to Business Process Re-engineering.
• Perform data conversion/migration.
• Assist with development and performance of automated Business Analytics.

• 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 data collection, processing, exploitation, transformation services, modeling, and analytics.
• 1–3 years of experience using Tableau or equivalent Business Intelligence software and server functions.
• 3–5 years of demonstrated programming skills with the ability to write and maintain scripts, including Python and Java, and familiarity with querying using SQL; knowledge of version control tools such as Git.

• 1–3 years of demonstrated experience performing geospatial data management, including data type conversions and coordinate systems in latitude/longitude, UTM, and knowledge of projections.
• Experience combining digital cartography, GIS, remote sensing photography and digital data formats.
• Experience building dashboards/websites portraying data analytics.
• Experience cleansing and structuring large sets of data.
• Experience performing data analysis to examine data from multiple angles to determine hidden values, weaknesses, trends, or opportunities; knowledge of ESRI tools such as ArcGIS/Arc Pro and Arc Server.
• Experience with ESRI Workflow Manager, WMX and TAM.
• Knowledge of database systems and architecture.
• Ability to write SQL.
• Understanding of cloud architecture and Dev Ops.
• Knowledge of symbolization and generalization rules.
• Experience working with geospatial data in a multiuser enterprise environment.
• Minimum 2 years of experience with data quality control tools, including ArcGIS Data Reviewer.
• Knowledge of metrics dissemination.
• Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, and understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
• Ability to convert structured data into structured formats.

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.