Ontologist/Data Scientist

Posted Yesterday
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Reston, VA, USA
In-Office
195K-230K Annually
Expert/Leader
Software
The Role
Lead assessment of DIA and IC metadata practices; architect standardized metadata requirements and controlled vocabularies per ICD 504; enable automated tagging for structured and unstructured data; validate interoperability with enterprise catalogs; produce policies, guidance, and training for data stewards and consumers.
Summary Generated by Built In

Ontologist/Data Scientist
 
ROLE OVERVIEW
Red Arch Solutions is seeking an expert Ontologist to lead the development of standardized, modularized metadata requirements for an enterprise data modernization program supporting the Defense Intelligence Agency (DIA).
You will play a foundational role in assessing current data practices across the Intelligence Community (IC) and architecting common metadata frameworks that enable automated tagging for massive volumes of structured and unstructured intelligence data. The ideal candidate possesses deep expertise in data classification, cataloging, and IC interoperability standards.
The Red Arch Distinction: People First
Red Arch Solutions is a flat, highly collaborative organization where your voice is heard. We prioritize work/life balance and individualized professional growth, backed by a 100% company-paid healthcare model, a robust annual training allocation, and an elite technical community solving our nation's most urgent national security challenges.
 KEY RESPONSIBILITIES
  • Current State Assessment: Conduct comprehensive evaluations of existing data assets and metadata tagging practices across DIA and partner IC elements. Identify gaps, inconsistencies, and alignment with the IC Data Reference Architecture (IC DRA).
  • Standards Development: Architect and develop standardized, modularized metadata requirements and controlled vocabularies that comply with ICD 504 and the IC Data Strategy.
  • Automated Tagging Enablement: Establish baseline common metadata tags designed specifically to support machine learning and automated tagging tools for both structured and unstructured data.
  • Ecosystem Integration: Validate metadata interoperability with enterprise catalogs (e.g., IC Data Catalog/ATLAS) and other IC-wide data discovery tools.
  • Stakeholder Guidance: Support data consumers and stewards through the development of policies, guidance documentation, and metadata management training.
REQUIRED QUALIFICATIONS
  • Clearance: Active, current Top Secret / SCI with Polygraph is mandatory.
  • Experience: 10+ years of experience in ontology, data modeling, or metadata management within large-scale federal or intelligence environments.  and systems engineering experience within the DoD or IC.
  • Technical Literacy: Proven experience in developing taxonomies, semantic models and data catalogs. Deep understanding of IC data governance policies (ICD 504).
  • Education: Bachelor’s degree in library science, Information Science, Data Science, Computer Science , Computer Science or a related field.
DESIRED SKILLS & FRAMEWORKS​​​​​​
  • ​​​​​​​Experience with semantic web technologies (RDF, OWL, SPARQL) and enterprise data catalog tools (Apache Atlas, Collibra, or specialized GOTS tools).
  • ​​​​​​​Familiarity with Natural Language Processing (NLP) or Machine Learning applications in data tagging.
  • Exceptional analytical thinking and the ability to articulate complex data structures to non-technical stakeholders.
Salary for this position $195,000-230,000 #CJ 

Skills Required

  • Active Top Secret / SCI with Polygraph
  • 10+ years experience in ontology, data modeling, or metadata management within large-scale federal or intelligence environments
  • Systems engineering experience within the DoD or Intelligence Community
  • Proven experience developing taxonomies, semantic models, and data catalogs
  • Deep understanding of IC data governance policies (ICD 504)
  • Bachelor's degree in Library Science, Information Science, Data Science, Computer Science, or a related field
  • Experience with RDF, OWL, SPARQL (semantic web technologies)
  • Experience with enterprise data catalog tools (Apache Atlas, Collibra, or GOTS tools)
  • Familiarity with Natural Language Processing or Machine Learning applications for data tagging
  • Ability to communicate complex data structures to non-technical stakeholders
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The Company
HQ: Columbia, MD
48 Employees
Year Founded: 2004

What We Do

Red Arch Solutions is a premier U.S. small business providing its customers with state-of-the-art tactical and strategic intelligence, systems, and software engineering solutions, solving some of the most pressing and unique intelligence community challenges related to National Security. Our employees are exceptionally skilled professionals; individuals who are dedicated to collecting, analyzing, creating and engineering the best solutions in support of critical missions. Red Arch Solutions takes pride in the success of our customers. The depth of our engineers’ experience combined with our breadth of exposure across the intelligence community enables us to provide value added, synergistic analytical and engineering support. Unique to Red Arch Solutions is the focus on its employees. Our guiding principle is “People First.” We offer employees career mobility and stability, work-life balance flexibility, and individualized career paths. The loyalty of highly trained, skilled professionals is our key corporate asset. Red Arch Solutions is an Equal Opportunity Affirmative Action Employer.

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