Senior Data Scientist - Ontology & Semantic Modeling

180 - 210 PLN/ godz./ godz.B2BB2B (netto)

SeniorZdalnieFull-time·B2B

#479908·Dodano wczoraj·1

Źródło: nofluffjobs.com

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Tech Stack / Keywords

Pythondata governanceGraphRAGSKOSSHACLSPARQLOWL / RDF / RDFSKnowledge GraphsSemantic ModelingOntology Engineering

Podsumowanie oferty

Design the foundational knowledge layer for enterprise AI and analytics initiatives. Bridge complex business domains and technical data architectures so data models and AI agents use unambiguous, machine-readable semantics.

Wymagania

5+ years of experience in Ontology Engineering, Semantic Web technologies, or Knowledge Graph-focused Data Science.
Hands-on expertise with semantic standards and query languages: OWL, RDF, SPARQL, SHACL, and SKOS.
Experience building enterprise ontologies or semantic layers for complex domains, such as Life Sciences, Healthcare, Finance, or Supply Chain.
Strong programming skills in Python and familiarity with graph databases, such as RDF triplestores or property graphs, and knowledge graph workflows.
Excellent communication skills to elicit domain knowledge from business stakeholders and translate it into formal specifications.

Obowiązki

Design, develop, and maintain formal domain ontologies, taxonomies, and semantic schemas (OWL, RDF, RDFS, SHACL).
Translate complex business rules, domain concepts, and entity relationships into structured semantic models.
Collaborate with Knowledge Graph Engineers and Agentic AI Engineers to ground LLM workflows and GraphRAG pipelines in trusted enterprise context.
Establish ontology governance, versioning standards, and validation rules across cross-functional data sources.
Align enterprise semantic layers with analytical platforms (Databricks) and operational CRM ecosystems.

Inne informacje

During onboarding, working hours may be adjusted to overlap with US hours, until 7:00 PM at the latest.

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