Data Scientist

Sabel Systems; Beavercreek (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Sabel Systems is seeking a data-driven professional to lead governance, quality, and MBSE-focused analytics across DoD programs. You will shape data strategy, ensure secure data flows, and translate complex data into actionable insights for senior leadership.

You will develop analytical models, dashboards, and reports while collaborating with engineers, logisticians, and program managers to enable rapid, informed decision-making.

Qualifications

• Experience implementing data governance in DoD programs.
• Strong understanding of data quality, lineage, and metadata standards.
• Experience with SysML and MBSE data integration.

Responsibilities

• Assess organizational data landscapes to identify sources and data quality.
• Develop data governance frameworks with metadata standards and QA protocols.
• Define data requirements and information flows across functions.
• Establish data enrichment and quality standards for leadership decision-making.
• Design analytical models and ML solutions for transformation initiatives.
• Build data pipelines and automated workflows with security compliance.
• Conduct exploratory data analysis, hypothesis testing, and predictive modeling.
• Support MBSE initiatives with data model assessments and SysML/UAF integration.
• Create analytical reports and dashboards for diverse leadership audiences.
• Engage stakeholders across engineering, logistics, finance, and acquisition.

Skills

Data governance

MBSE

Data analysis

Machine learning

SysML/UAF

Data pipelines

EDA

Predictive modeling

Job description

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.

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. Rather than simply proposing transformation, we implement and operate it at scale. Our 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.

Complexity Simplified. Mission Amplified.

What You’ll Do

• 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