Senior Data Discovery and Enrichment Expert II
ElsevierThis role is no longer listed. Elsevier took the posting down on Oct 9, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement methods to link and align existing taxonomies and ontologies using semantic web technologies.
Model and maintain controlled vocabularies and ontologies (SKOS, SKOS-XL, OWL) and query semantic data via SPARQL.
Develop Python tools/scripts for data modeling and integration; collaborate with teams to translate business needs into semantic models.
Minimum Requirements
Extensive hands-on experience with SPARQL and advanced Python programming skills.
Experience working with REST APIs and good data modelling experience.
Familiarity with taxonomy/ontology management tools (e.g., Centre, Synaptica, Top Braid, Protégé).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong technical expertise in semantic web standards and linked data (RDF, RDFS, JSON-LD).
Experience in enterprise-scale taxonomy/ontology management and integration workflows.
Comfortable working on cutting-edge AI-related projects and translating data/business needs into semantic modeling solutions.