Data Scientist
Tasks
- Apply machine learning for entity resolution and inference
- Build and evolve vocabularies
- Build natural language to SPARQL pipelines
- Create SHACL validation layers
- Design and maintain knowledge graphs
- Develop and maintain ontologies
- Develop semantic ETL and transformations
- Maintain semantic assets with version control and CI/CD
- Provide technical documentation and training
- Support operations and maintenance in classified environments
- Write SPARQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
Anzograph | Automated testing | CI/CD | Data Modeling | Embeddings | Entity Resolution | Fine Tuning | Git | Graph reasoning | Java | Knowledge graphs | Language Processing | Machine Learning | Model Fine-tuning | Natural Language | Natural Language Processing | OWL | PoolParty | Protégé | Python | R | RDF | SKOS | SPARQL | Semantic ETL | Semantic Web | Semantic data | Semantic data modeling | Shacl | Stardog
Education
Roles
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