Position Summary: The DoW Data Scientist - War Data Platform is a mission-focused technical role responsible for developing advanced data science, analytics, and data-engineering solutions within the Department of Defense War Data Platform ecosystem. The role requires deep expertise integrating and analyzing large-scale operational, logistical, readiness, and force-design data using modern tools such as Foundry and Advana.
The Data Scientist supports warfighter-focused decision-making by building predictive models, optimizing pipelines, and delivering high-quality analytics products that directly inform strategy, resource allocation, and senior-leader decisions. This position is hybrid with on-site engagement depending on mission needs.
Essential Job Functions:- War Data Platform / Mission Analytics
- Develop data science solutions directly within the War Data Platform, enabling large-scale analysis of operational, logistics, personnel, and readiness datasets.
- Design workflows and analytics that fuse multi-domain data to support warfighter decisions.
- Implement repeatable modeling, automation, and analytic pipelines optimized for secure DoD environments.
- Foundry / Advana Development
- Build and maintain high-quality data pipelines in Foundry, including transforms, ontology development, and code-workbook integrations.
- Develop dashboards, visual analytics, and decision-support tools within Advana, leveraging PySpark, SQL, and platform-native frameworks.
- Ensure all analytics comply with DoD governance, security, and data-management standards.
- Data Science & Modeling
- Perform exploratory data analysis and create predictive, prescriptive, and statistical models to support mission outcomes.
- Build machine learning models to address forecasting, optimization, readiness assessments, and operational planning.
- Visualize complex analytical findings in accessible, decision-focused formats.
- Data Engineering & Integration
- Ingest, clean, fuse, and normalize large structured and unstructured datasets from multiple DoD data sources.
- Develop scalable ETL/ELT pipelines using Python, SQL, PySpark, and platform-specific tools.
- Deploy automated workflows and CI/CD patterns for stable, repeatable analytics delivery.
- Collaboration, Communication & Advisory Support
- Work closely with program managers, mission owners, analysts, engineers, and operators to identify analytical requirements.
- Serve as a technical advisor to senior leaders on War Data Platform capabilities and analytic potential.
- Translate complex data science outputs into clear, operationally meaningful insights.
Skills and Qualification Required:- U.S. Citizenship required.
- Clearance eligibility 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.
- Experience supporting DoD programs, warfighter missions, or secure data platforms.
- Deep hands-on experience with the DoD War Data Platform, including its architecture and operational workflows.
- Strong working knowledge of Foundry and Advana, including transforms, pipelines, ontologies, and workbook-based analytics.
- Proficiency in Python, SQL, PySpark, and major data-science libraries.
- Experience working in secure cloud environments with strict compliance and governance controls.
- Ability to build advanced ML/statistical models and communicate insights clearly.
- Ability to collaborate in fast-paced, mission-centric teams.
- Proficiency in developing interactive dashboards, data models, and visual analytics using Power BI.
- Experience building Qlik Sense applications, data transformations, and visual storytelling dashboards.
- Ability to integrate Power BI and Qlik solutions with DoD datasets and secure cloud platforms.
Skills and Qualifications Preferred: - Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or related field.
- Experience with operational, logistics, readiness, wargaming, or campaign-modeling datasets.
- Familiarity with DevSecOps, containerized workloads, Jupyter, Spark clusters, or data-orchestration frameworks.
Our Benefits:We offer a comprehensive benefits package designed to make sure our employees and their families have access to good health care, are insured against catastrophic health events, can put money aside for retirement and are able to maintain a healthy work-life balance. These benefits include:
- Comprehensive medical, dental and vision
- Long-term and short-term disability insurance and term life insurance
- 401(K) with safe harbor contribution
- Paid time off and 11 paid holidays
- Tuition and career development assistance
- A selection of voluntary benefits
This job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and marginal job functions are subject to modification.
Pay Range: $160,000 - $185,000 per year
