Data Scientist: DoD Data & MBSE Analytics

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

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.