Data Scientist

Why Sabel Systems

Sabel Systems designs and delivers digital engineering ecosystems for DoD programs, enabling teams to connect data, systems, and personnel within secure, scalable environments. Our solutions empower programs to make faster decisions, close sustainment gaps, and meet the digital acquisition requirements.

Sabel Systems designs and delivers digital engineering ecosystems for DoD programs, enabling teams to connect data, systems, and personnel within secure, scalable environments. Our solutions empower programs to make faster decisions, close sustainment gaps, and meet the digital acquisition requirements. Rather than simply proposing transformation, we implement and operate it  method is clear: we orchestrate existing tools into a governing system of record, ensuring government ownership of infrastructure and traceable decisions.

There’s no vendor lock, no proprietary baselines, and no need for ATO rebuilds during transitions.

Sabel Systems is redefining modern defense acquisition. If you seek to solve complex challenges at scale and want your work to directly accelerate military capability while reshaping the DoD’s approach to digital engineering, this is the place for you.

• Assess organizational data landscapes to identify data sources, understand data quality, classify data sensitivity levels, and develop strategies for integrating disparate data sources across functional boundaries (engineering, logistics, finance, program management)
• Develop and implement data governance frameworks, including data lineage documentation, metadata standards, and quality assurance protocols compliant with DoD directives and organizational security requirements
• Define and document data requirements, information process flows, and gap analyses; identify missing data connections that prevent holistic understanding across organizational functions
• Establish data enrichment protocols and data quality standards that support senior leadership decision-making and enterprise-level strategic planning
• Design and develop analytical models, statistical analyses, and machine learning solutions that extract actionable insights from structured and unstructured data to support organizational transformation and performance improvement
• Build data pipelines and automated workflows that integrate, transform, and validate data from multiple sources while maintaining security and compliance requirements
• Conduct exploratory data analysis (EDA), statistical hypothesis testing, and predictive modeling to identify trends, patterns, anomalies, and opportunities for optimization
• Leverage data science techniques to validate, enhance, and support model-based systems engineering (MBSE) initiatives, including data model assessment and SysML/UAF integration
• Extract and analyze structured data from enterprise data sources to populate MBSE models and ensure alignment between operational reality and digital representations
• Design and develop analytical reports, dashboards, and visualizations that translate complex data findings into clear, actionable insights for audiences ranging from technical teams to senior military and civilian leadership
• Create compelling data narratives and executive summaries that communicate findings, recommendations, and implications in language appropriate for diverse stakeholder audiences
• Engage directly with stakeholders across organizational functions (engineering, logistics, finance, acquisition) to understand their analytical needs, data requirements, and decision support priorities
• Partner with systems engineers, MBSE specialists, software developers, and program managers to ensure analytical products align with technical and programmatic objectives
• Operate in compliance with DoD security requirements, handling classified information and controlled unclassified information (CUI) in accordance with applicable regulations and protocols
• Participate actively in daily stand-ups, sprint planning, sprint reviews, retrospectives, and other team meetings; contribute to continuous process improvement and team effectiveness