Barbaricum is seeking to support data-centric projects for a high-visibility government customer by applying data science principles to national security challenges
Requirements
- Intermediate proficiency with Python, including use of libraries like NumPy or pandas
- Familiarity with business intelligence (BI) methodologies, API integrations, and database design
- Experience with ESRI ArcGIS Pro, Survey123, or similar tools
- Familiarity with git-based version control systems
- Exposure to DevSecOps or analytics development workflows
Responsibilities
- Gather and reformat data from Government-identified primary and secondary sources for human and machine analysis
- Use Python-based statistical tools (e.g., NumPy) and GIS tools (e.g., ArcGIS) to analyze datasets and identify trends, patterns, and insights relevant to mission outcomes
- Prepare analytical reports that clearly communicate findings to executive leadership in the context of local, national, and global security trends
- Collaborate with developers, engineers, and mission stakeholders to recommend system improvements and develop policies for data governance
- Document the data analysis process in a way that enables reproducibility and transparency for Government stakeholders
Other
- Active DoD TS/SCI clearance
- Bachelor's degree in Computer Science, Data Science, Information Systems, or a related technical field
- At least 1 year of relevant experience applying data analysis principles, including predictive analytics and working with on-prem and cloud-based data systems
- Demonstrated ability to identify trends and build diagnostic or predictive models
- Experience preparing data-driven deliverables for non-technical leadership audiences
