Data Scientist (Active TS/SCI Clearance required)
On-siteArlington, Virginia, United States
Job Summary
Conduct exploratory data analysis to extract insights from complex structured and unstructured datasets using big data tools and Python scripting. Build automated processes, data modeling content, and visualizations to address DoD and Intelligence Community challenges. Lead solution creation and enhancement while collaborating with stakeholders to break down road map items and assess risks. Integrate math, coding, and analytics to derive actionable insights for decision-makers, applying optimization frameworks to inform data management and analytical activities. Requires active TS/SCI clearance with CI Polygraph eligibility, seven years of experience, and a BS degree.
Required Qualifications
- Active TS/SCI clearance with eligibility for CI Polygraph
- 7 years of experience
- BS degree
- Background supporting Intelligence Community operations
- Must be able to script at a Senior Level in python
- Hands-on experience with data mining
- Ability to work with large datasets of structured and unstructured data
- Ability to create visualizations for data discoveries
- Ability to identify opportunities for system enhancements and new analytic capabilities
- Experience leveraging government-off-the-shelf (GOTS) data processing and analytics tools
- Understanding of and hands-on experience with advanced analytical methods
- Knowledge of multi-INT and specialized technology research methods
- Strong communication skills with the ability to clearly explain technical details in an accessible way
Desired Qualifications
- Advanced programming experience using tools such as HTML5/JavaScript, ArcObjects, Model Builder, Oracle, SQL, GIScience, Statistical tools, ArcGIS Desktop, ArcGIS Server, ArcSDE, or ArcIMS
- Experience in programming for web interfaces and geodatabase development using .NET, Python, C++, or Java
- Familiarity with building and maintaining databases for GEOINT, SIGINT, or OSINT
- Prior experience with maintaining or developing databases
- Background in developing and implementing AI/ML technologies
- Proficiency with commercial off-the-shelf (COTS) statistical tools such as MapLarge, Tableau, or MATLAB
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