Leidos has an opening for a data scientist at a government agency in downtown Washington, DC. US Citizenship is required.
The candidate would assist the agency with improving data usage across the agency. The individual would work with teams to identify their analysis needs and data availability, and then evaluate their current analysis practices. They would then propose improvements in data curation and analysis to enable to team to perform their jobs faster and more consistently. They might prototype the workflows and teach the team how to continue the processes.
Developing new workflows to improve existing analyses.
Teaching data management best practices to those who lack formal training in analysis.
Determine how to collect data in a formal and systematic manner.
Help to determine next-generation data collection and analysis needs, such as web forms, online database, etc.
Helping groups understand the sorts of analyses that could be performed with the data that they already collect, as well as what additional data would be needed to perform the sorts of analyses that they desire.
Creating sample informational products based on existing data to demonstrate the art of the possible.
BS in mathematics, physics, engineering, computer science, statistics, epidemiology, or a related discipline AND 4+ years' experience performing data analysis OR MS in mathematics, physics, engineering, computer science, statistics, epidemiology, or a related discipline AND 2+ years' experience performing data analysis
US Citizenship is required; candidate must be able to achieve a Public Trust clearance
Experience managing structured and unstructured data sets, in particular with cleaning, extracting, and validating with automated methods.
Experience with R and Python scripting and related packages for processing, analyzing, and visualizing data.
Familiarity with geographic information systems (GIS).
Experience developing succinct visualizations of geographic, time series, and proportion data.
Excellent written and oral communication skills.
MA or MS in mathematics, physics, engineering, computer science, statistics, epidemiology, or a related discipline or an additional 2-4 years' experience (4-8 total).
Experience managing and deploying databases.
Experience with emergency management and response.
Experience using Git and other source code management tools.
Experience working with cloud computing infrastructure, particularly in a Federal IT environment.
Experience with IT solutions in potentially low-resource environments (lacking reliable power and internet access for example).
Experience with electronic health record systems, ESRI GIS products, Tableau.