Job Requirements
Arlington, VA
Top Secret/SCI Polygraph not specified
Career Level not specified
$200,000 - $200,000
Job Description
Description:
• Position Title: Ontology and Data Science Engineer
• Clearance Level: Top Secret / SCI (TS/SCI)
• Location: Arlington, VA
• Reporting To: Lead for Digital Environments, APEX
• Travel: ~25%
Role Overview:
The incumbent will play a critical role in structuring complex mission data and developing robust analytical models to support the assessment of Department of War (DoW) systems and capabilities. The primary focus of this role is supporting ontology development and ensuring seamless integration with Mission Engineering (ME) ontologies within the MEIA JCDE environment. The ideal candidate blends expertise in Model-Based Systems Engineering (MBSE), semantic data structuring, and statistical analysis to drive data-informed capability assessments.
Responsibilities:
• Ontology Development & Integration: Design, develop, and maintain ontologies to structure complex data, ensuring alignment and integration with overarching Mission Engineering ontologies within the MEIA JCDE environment.
• Analytical Modeling: Develop, test, and support advanced analytical and statistical models to assess the performance, gaps, and effectiveness of current and proposed systems and capabilities.
• System Modeling: Utilize SysML to support MBSE efforts, mapping system architectures and behaviors to underlying data structures and ontologies.
• Data Translation: Act as a bridge between systems engineers and data architects, translating mission requirements into logical data models and quantitative assessments.
• Reporting & Visualization: Synthesize complex data science outputs and semantic queries into clear, actionable insights for mission stakeholders and decision-makers.Technical Liaison: Support the APEX by translating mission requirements into technical specifications for enterprise IT partners.
Experience Requirements
Professional Experience:
• Professional Experience: Mid-level professional (5-8+ years) with data science, systems engineering, or ontology development experience.
• DoD Domain Context: Prior experience supporting DoD/DoW mission sets, processes, or data environments is a strong plus, though not a strict requirement.
• Data Science & Modeling Proficiency: Strong proficiency in Statistical Software, data science programming (e.g., Python, Pandas, Scikit-learn, R), and SysML for MBSE efforts.
• Semantic Web Expertise: Applied experience with semantic web technologies and ontology languages (e.g., OWL, RDF, SPARQL). Familiarity with graph databases (e.g., Neo4j, ArangoDB) and MBSE software (e.g., Cameo Systems Modeler) is highly desirable.
Education & Certifications:
• Education: Bachelor’s or Master's degree in Data Science, Systems Engineering, Computer Science, Mathematics, or a related technical field.
• Certifications: Relevant certifications in Data Science, MBSE (e.g., OCSMP), or Cloud infrastructure are preferred.
• Position Title: Ontology and Data Science Engineer
• Clearance Level: Top Secret / SCI (TS/SCI)
• Location: Arlington, VA
• Reporting To: Lead for Digital Environments, APEX
• Travel: ~25%
Role Overview:
The incumbent will play a critical role in structuring complex mission data and developing robust analytical models to support the assessment of Department of War (DoW) systems and capabilities. The primary focus of this role is supporting ontology development and ensuring seamless integration with Mission Engineering (ME) ontologies within the MEIA JCDE environment. The ideal candidate blends expertise in Model-Based Systems Engineering (MBSE), semantic data structuring, and statistical analysis to drive data-informed capability assessments.
Responsibilities:
• Ontology Development & Integration: Design, develop, and maintain ontologies to structure complex data, ensuring alignment and integration with overarching Mission Engineering ontologies within the MEIA JCDE environment.
• Analytical Modeling: Develop, test, and support advanced analytical and statistical models to assess the performance, gaps, and effectiveness of current and proposed systems and capabilities.
• System Modeling: Utilize SysML to support MBSE efforts, mapping system architectures and behaviors to underlying data structures and ontologies.
• Data Translation: Act as a bridge between systems engineers and data architects, translating mission requirements into logical data models and quantitative assessments.
• Reporting & Visualization: Synthesize complex data science outputs and semantic queries into clear, actionable insights for mission stakeholders and decision-makers.Technical Liaison: Support the APEX by translating mission requirements into technical specifications for enterprise IT partners.
Experience Requirements
Professional Experience:
• Professional Experience: Mid-level professional (5-8+ years) with data science, systems engineering, or ontology development experience.
• DoD Domain Context: Prior experience supporting DoD/DoW mission sets, processes, or data environments is a strong plus, though not a strict requirement.
• Data Science & Modeling Proficiency: Strong proficiency in Statistical Software, data science programming (e.g., Python, Pandas, Scikit-learn, R), and SysML for MBSE efforts.
• Semantic Web Expertise: Applied experience with semantic web technologies and ontology languages (e.g., OWL, RDF, SPARQL). Familiarity with graph databases (e.g., Neo4j, ArangoDB) and MBSE software (e.g., Cameo Systems Modeler) is highly desirable.
Education & Certifications:
• Education: Bachelor’s or Master's degree in Data Science, Systems Engineering, Computer Science, Mathematics, or a related technical field.
• Certifications: Relevant certifications in Data Science, MBSE (e.g., OCSMP), or Cloud infrastructure are preferred.
group id: 91102402