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DoW Data Scientist – War Data Platform

HunaTek Government Solutions
Virginia, USA
Onsite
USD 160000-185000 yearly
Discovered 2 days ago
DoD War Data PlatformFoundryAdvanaPythonSQLPySpark

Full Job Posting

Position overview

Technical role developing data science, analytics, and data-engineering solutions in the Department of Defense War Data Platform ecosystem.

Supports warfighter decisions through predictive models, optimized pipelines, and analytics products for strategy, resource allocation, and senior-leader decisions.

Position is hybrid, with on-site engagement depending on mission needs.

War Data Platform and analytics

  • Develop solutions for large-scale analysis of operational, logistics, personnel, and readiness data.
  • Design workflows fusing multi-domain data and implement repeatable modeling, automation, and analytics pipelines for secure DoD environments.
  • Build and maintain Foundry pipelines, transforms, ontologies, and code-workbook integrations.
  • Develop Advana dashboards, visual analytics, and decision-support tools using PySpark, SQL, and platform-native frameworks.
  • Perform exploratory data analysis and build predictive, prescriptive, statistical, and machine-learning models for forecasting, optimization, readiness, and operational planning.
  • Ingest, clean, fuse, and normalize structured and unstructured DoD datasets; develop scalable ETL/ELT pipelines and automated workflows with CI/CD patterns.
  • Collaborate across mission teams, advise senior leaders, and communicate complex findings as operationally meaningful insights.

Required qualifications

  • U.S. citizenship and clearance eligibility are required.
  • Bachelor’s degree and 5–10+ years in data science, machine learning, data engineering, or advanced analytics.
  • Direct experience developing analytic products in Foundry and/or Advana; deep hands-on knowledge of the War Data Platform, architecture, and workflows.
  • Experience supporting DoD programs, warfighter missions, or secure data platforms and working in secure cloud environments with governance controls.
  • Proficiency in Python, SQL, PySpark, major data-science libraries, and Power BI; Qlik Sense development and integration experience.
  • Ability to build advanced machine-learning and statistical models and communicate insights clearly.

Preferred qualifications

  • Master’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Experience with operational, logistics, readiness, wargaming, or campaign-modeling datasets.
  • Familiarity with DevSecOps, containerized workloads, Jupyter, Spark clusters, or data-orchestration frameworks.

About HunaTek

HunaTek works with federal civilian and military staff and values teams with varied backgrounds and perspectives.

The company offers opportunities to develop skills, obtain certifications, and attend industry events.

Benefits

  • The posting describes a comprehensive benefits package, including health-care coverage and insurance.

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