Data Scientist lead - Semantic Layer - Ontology/Knowledge Engineer
On-site · New York City, New York, United States
Job Summary
Data Scientist lead focusing on ontology and knowledge graph engineering. Author logical data model ontologies and design/maintain knowledge graph mapping assets that connect relational databases, REST APIs, in-memory structures, and real-time streaming sources to a coherent enterprise knowledge graph. Curate semantic taxonomy structures using controlled vocabularies and concept schemes, contribute to upper ontologies and semantic taxonomies, enable virtual knowledge graph capabilities with on-the-fly materialization, and collaborate with data architects, domain SMEs, AI/ML engineers to align ontology decisions with data structures and downstream reasoning/semantic validation. Participate in ontology governance including versioning, change management, and cross-domain alignment reviews; translate complex business and data requirements into formal semantic representations for non-technical stakeholders.
Required Qualifications
- 3 years of experience with semantic web technologies, knowledge graph engineering, ontology development, or linked data systems
- Familiarity with data mapping concepts
- Working knowledge of semantic data model layers and schema definition languages
- Exposure to relational databases and streaming data pipelines
- Ability to translate business and data requirements into formal semantic models
- Awareness of Virtual Knowledge Graph concepts and non-physical data movement principles
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