Na Ali'i Consulting & Sales, LLC.-posted about 19 hours ago
Full-time • Mid Level
Hybrid • Arlington, VA
501-1,000 employees

Nakupuna Prime is looking for a Data Scientist to deliver evidence-based insights through advanced statistical analysis and predictive modeling to support student success and strategic enrollment initiatives. This is a mid-level role expected to deliver analyses and models with guidance from senior staff on approach and prioritization. This effort supports the United States Naval Community College (USNCC).

  • Design, train, and validate statistical and machine learning models to forecast student outcomes and identify students needing intervention.
  • Conduct advanced analysis (e.g., cohort analysis, A/B testing, causal inference) to identify trends and correlations across student datasets.
  • Identify and present actionable student success insights supported by rigorous statistical methods.
  • Develop and document student risk classification logic (high/medium/at-risk) using composite scoring from grades, attendance, and LMS activity.
  • Collaborate with Data Engineers and BI Developers to operationalize models into dashboards and recurring deliverables.
  • Maintain clear model documentation for reproducibility, auditing, and governance.
  • Proficiency in statistical analysis and applied modeling techniques to generate actionable insights.
  • Hands-on ability to develop, validate, and maintain predictive models using Python and/or R.
  • Strong SQL skills to extract, join, and validate data for analysis.
  • Ability to communicate findings through clear narratives, visuals, and stakeholder-ready briefings.
  • Experience documenting methodologies to support reproducibility and governance.
  • This position requires a bachelor’s degree or higher in Data Science, Statistics, or a related quantitative field.
  • 5+ years of experience applying predictive modeling and machine learning to large datasets
  • Proficiency in Python or R and SQL
  • This position requires access to military installations.
  • Must be able to qualify for and obtain base access and pass a background check.
  • Must be a U.S. citizen.
  • Experience with higher education or similar public-sector datasets is preferable
  • Experience communicating analytical findings to non-technical stakeholders
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