M365 Platform Developer

Falconwood Inc.

  • Suffolk, Virginia
  • 30+ days ago
  • $105,000–$115,000

Highlights

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.

Numbers & Facts

LocationSuffolk, Virginia
Salary$105,000–$115,000

Description

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:

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