Analysis Skills, Analytical Development, Business Intelligence, Computer Science, Computer Security, Data Analysis, Data Cleaning, Data Entry, Data Mining, Data Profiling, Data Science, Data Sets, Data Structures, Data Visualization Tools, Database Extract Transform and Load (ETL), Database Report Tools, Information Technology & Information Systems, Information Warfare (IW), Internet Security, Machine Learning, Mathematics, Multiplatform/Cross-Platform, Process Development, Reporting Dashboards, Statistics, Structured Data, Systems Engineering, Trend Analysis, Unstructured Data, Use Cases, Workflow Analysis
Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development.
The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO).
This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR's data strategy. This is a hybrid position based in Suffolk, VA, with limited travel anticipated.
Responsibilities:
- Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights
- Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms
- Assist in the integration of structured and unstructured data sources to support analytics workflows
- Conduct data profiling, cleaning, transformation, and normalization activities
- Apply machine learning and statistical analysis techniques to support mission-aligned use cases
- Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting
- Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools
- Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms
Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline
Experience: