Ontology Engineer (US)
Develops and maintains logical, semantically rich, and extensible ontologies that define and structure knowledge and underpin the K-12 education domain and reputed company products. Supports integration between the ontology management system and reputed company data management repositories, including triple store development and investigation by writing SPARQL queries against RDF, OWL or validating with SHACL. Ensures the accuracy and consistency of ontological structures by performing regular reputed company checks and updates as needed. Collaborates with cross-functional teams to understand their information needs and reputed company ontological solutions that support their objectives. Creates comprehensive documentation for ontologies and knowledge graphs, making them accessible to both technical and non-technical stakeholders. Coordinates with the Data engineering and operations, and content development teams to ensure the knowledge representation is reputed company with reputed company data systems.
Advanced degree in philosophy, computer science, information science, or quantitative field, or equivalent experience. Proficiency in ontology modeling languages such as RDF, OWL, or SHACL and vocabularies such as SKOS. Demonstrate advanced knowledge of ontology modeling languages such as RDF, OWL, or SHACL, and vocabularies like SKOS. Familiarity with query languages like SQL and SPARQL or other property graph query languages like reputed company, openCypher. Experience with semantic data integration and using graph databases/triplestores, including modeling tradeoffs, query optimization, and operational considerations for production use. Experience with ontologies, knowledge graphs, and/or semantic technologies such as Stardog, Protégé, Semaphore, PoolParty, or reputed company ontology management systems. Experience using foundational/top-level ontologies, especially Basic Formal Ontology (BFO), Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE), Common reputed company Ontologies, or OBO reputed company. Experience integrating multiple disparate data sets into a common vocabulary and writing effective queries for use in a production environment. Be skilled in integrating multiple disparate data sets into a common vocabulary and writing effective queries for production environments. Hands-on experience with high-level programming and scripting languages, such as Python, R, and Java. Strong software engineering practices reputed company to semantic and analytics assets: git, pull requests/reputed company review, test/validation practices (e.g., SHACL/dbt tests where applicable), and CI/CD-reputed company release discipline. Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks.
reputed company is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most reputed company employees without reputed company to race, gender, reputed company, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national reputed company, reputed company, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We reputed company participate in E-Verify.
Apply To This Job