Mid-Level Data Scientist

Description

Leidos is actively interviewing for a Mid-Level 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 quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.

We’re looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.

• Collect, process data and perform data analysis.
• Integrate, protect, and maintain data in 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 features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
• Write and maintain Python scripts in Arc GIS to improve efficiency of the production process.
• Assist in providing support to Business Processing 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 the areas of data collection, processing, exploitation, transformation services, modeling, and analytics.
• 1–3 years of experience using Tableau or equivalent Business Intelligence software and software server functions.
• 3–5 years of demonstrated programming skills with the ability to write and maintain scripts, including Python and Java, and familiarity with SQL. Knowledge and experience using version control tools such as Git.
• Active TS/SCI clearance with ability to be approved for a CI Poly.

• 1–3 years of demonstrated experience performing geospatial data management, including data type conversions and coordinate systems in latitude/longitude and UTM, and knowledge of projections and their properties/conversions.
• Experience in combining digital cartography, computer technology, GIS, cartographic and geospatial production techniques, remote sensing photography and digital data formats.
• Experience building dashboards/websites portraying data analytics.
• Experience cleansing, structuring large sets of data.
• Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, or opportunities.
• Knowledge of ESRI 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 rules.
• Knowledge of generalization rules.
• Experience working with geospatial data in a multiuser enterprise environment.
• Minimum 2 years of experience working with data quality control tools, including ArcGIS data reviewer.
• Knowledge of metrics dissemination.
• Familiarity with emerging AI technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
• Ability to convert structure data into structured data.

$73,450.00 – $. This is a general guideline and not guaranteed. Compensation may also consider responsibilities, education, experience, knowledge, skills, and other factors.

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.