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Ontology Computer Science Jobs (NOW HIRING)

GHX

OR

$91K - $121K/yr

Solid foundational understanding and application of Computer Science principles. * Proficiency in ... Understanding of data modeling, ontology design, data architecture * Familiar with LLMs and other ...

GHX

OR

$91K - $121K/yr

Solid foundational understanding and application of Computer Science principles. * Proficiency in ... Understanding of data modeling, ontology design, data architecture * Familiar with LLMs and other ...

Second-61 LLC

Project Manager (Ontology)

Doral, FL

Lead delivery of projects focused on ontology development and knowledge graph integration * Manage ... Master's degree in Systems Engineering, Project Management, Computer Science, or related field OR ...

Second-61

Project Manager (Ontology)

Doral, FL · On-site

Lead delivery of projects focused on ontology development and knowledge graph integration * Manage ... Master's degree in Systems Engineering, Project Management, Computer Science, or related field OR ...

Peraton

Knowledge Graph/Ontology Engineer

Basking Ridge, NJ · On-site

$104K - $166K/yr

... PhD in Computer Science, Information Science, or related field * 3+ years of experience with ... Understanding of ontology design patterns and best practices * Experience with entity resolution ...

ANSER

Principal Computer Scientist

Reston, VA · On-site

Required : • TS/SCI with Poly Clearance • Master's degree in Data Science, Computer Science ... Ontology (DICO). Company : In 1958 the Air Force needed a technically qualified unbiased ...

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Ontology Computer Science information

What are the key skills and qualifications needed to thrive as an Ontology Computer Scientist, and why are they important?

To thrive as an Ontology Computer Scientist, you need expertise in knowledge representation, semantic web technologies, and a solid background in computer science or information science, often supported by an advanced degree. Familiarity with tools like Protégé, OWL, RDF, SPARQL, and experience with ontology development platforms are typically required. Strong analytical thinking, problem-solving abilities, and clear communication skills set individuals apart in this role. These skills are crucial for designing accurate and scalable ontologies that enhance data interoperability and support complex information systems.

How does an Ontology Computer Science professional typically collaborate with other teams in a tech organization?

Ontology Computer Science professionals frequently work cross-functionally, collaborating closely with data engineers, software developers, and domain experts to ensure that knowledge representation systems align with organizational needs. They play a key role in defining data standards, integrating diverse data sources, and facilitating semantic interoperability. Regular communication with stakeholders is essential to gather requirements and validate that the developed ontologies support business logic and analytics goals. This collaborative environment helps ensure that ontology solutions are both technically robust and practically relevant.

What is an ontology in computer science?

In computer science, an ontology is a structured framework that defines a set of concepts, categories, and relationships within a particular domain. Ontologies are used to enable computers to understand and process information by providing a shared vocabulary for representing knowledge. They play a crucial role in fields like artificial intelligence, semantic web, and knowledge management by helping systems interpret data, facilitate data integration, and support reasoning. Ontologies can range from simple taxonomies to complex models with rules and constraints.

What is the difference between Ontology Computer Science vs Data Scientist?

AspectOntology Computer ScienceData Scientist
Required CredentialsComputer Science degree, knowledge of ontologies, semantic web standardsStatistics, computer science, or related degrees, data analysis certifications
Work EnvironmentResearch labs, academia, AI development teamsBusiness, tech companies, analytics teams
Industry UsageKnowledge representation, semantic web, AIData analysis, predictive modeling, business insights

Ontology Computer Science focuses on creating and managing structured knowledge representations using ontologies, often in AI and semantic web contexts. Data Scientists analyze data to extract insights and build predictive models. While both roles require technical skills, Ontology Computer Science emphasizes knowledge modeling, whereas Data Scientists focus on data analysis and interpretation.

Infographic showing various Ontology Computer Science job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 80% Full Time, 9% Part Time, and 9% Contract. Highlights an 69% In-person, 11% Hybrid, and 20% Remote job distribution.

Senior Ontology Expert/Project Manager with Security Clearance

SOSi

Miami, FL

Other

Posted 17 days ago

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description **This position is contingent upon contract award** SOSi is seeking a Senior Ontology Expert/Project Manager to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities. Essential Job Duties: * Oversee task execution, ensuring that all ontology development, machine learning governance, and metadata management initiatives align with mission requirements.
* Manage project timelines, resource allocation, and deliverable tracking, ensuring compliance with sprint objectives and stakeholder expectations.
* Facilitate interagency coordination, ensuring that knowledge representation efforts align with DoD data-sharing agreements and governance frameworks.
* Submit the Project Execution & Status Report detailing progress against milestones, risk assessments, and coordination activities. Qualifications Minimum Requirements * Active TS/SCI clearance.
* Master's degree or higher (e.g., Ph.D.) in Systems Engineering, Project Management, Computer Science, Information Technology, Business Administration, Engineering Management, or a closely related field;
* or a minimum of 11+ years of experience managing complex technical projects, particularly in ontology development, strong background in SysEngOps, DevSecOps, version control systems, and CI/CD pipelines.
* Knowledge and capability to deliver project deliverables in the DoD ontology domain:
* Skilled at complex technical projects, particularly in ontology development, knowledge graph integration, or supporting DoD geospatial and all-source analysis.
* Proficient in SysEngOps, DevSecOps, version control systems, and CI/CD pipelines.
* Experience with Project Management Professional (PMP), Certified Scrum Master (CSM), and Certified Systems Engineering Professional (CSEP) processes.
* Certifications such as Project Management Professional (PMP), Certified Scrum Master (CSM), Certified Systems Engineering Professional (CSEP).
* Skilled in Python, R, SQL/NoSQL, PostgreSQL, ESRI (ArcGIS/ArcPy). Additional Information Work Environment * Normal office conditions.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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