DescriptionJob Summary
As a Semantic Data Scientist in Data Governance Product you will be an integral part of our cutting-edge Semantic Data Science team. Our projects and capabilities upscale the traditional Data Scientist role through the application of Semantic technologies into every stage of the Machine Learning lifecycle. Our vision is to increase the scalability and value of Artificial Intelligence and Machine Learning use cases through Semantic data integration and curation strategies. We also leverage advanced Semantic-based Artificial Intelligence and Machine Learning techniques to develop state-of-the-art prediction forecasting and agentic systems. Join a collaborative passionate team where you will gain hands-on experience utilizing Semantic Data Science techniques to drive business impact in the firms Data Governance and Marketing domains.
Job Responsibilities
Required qualifications capabilities and skills
- Bachelors or Masters Degree in Computer Science or related discipline.
- 2 years of work experience leveraging Semantic Data Science or related techniques
- Programming Languages Python Java
- Query Languages SPARQL SQL
- Semantic Vocabularies RDF R2RML OWL RDFS XSD
- Machine Learning Feature Engineering Hyperparameter Optimization Model Evaluation
Preferred qualifications capabilities and skills
- Python Libraries RDFLib mOWL PyKEEN
- Query Optimization and Rewriting Virtual Tables/Views OWL QL
- Graph Machine Learning Knowledge Graph Embeddings Graph Neural Networks
DescriptionJob SummaryAs a Semantic Data Scientist in Data Governance Product you will be an integral part of our cutting-edge Semantic Data Science team. Our projects and capabilities upscale the traditional Data Scientist role through the application of Semantic technologies into every stage of th...
DescriptionJob Summary
As a Semantic Data Scientist in Data Governance Product you will be an integral part of our cutting-edge Semantic Data Science team. Our projects and capabilities upscale the traditional Data Scientist role through the application of Semantic technologies into every stage of the Machine Learning lifecycle. Our vision is to increase the scalability and value of Artificial Intelligence and Machine Learning use cases through Semantic data integration and curation strategies. We also leverage advanced Semantic-based Artificial Intelligence and Machine Learning techniques to develop state-of-the-art prediction forecasting and agentic systems. Join a collaborative passionate team where you will gain hands-on experience utilizing Semantic Data Science techniques to drive business impact in the firms Data Governance and Marketing domains.
Job Responsibilities
Required qualifications capabilities and skills
- Bachelors or Masters Degree in Computer Science or related discipline.
- 2 years of work experience leveraging Semantic Data Science or related techniques
- Programming Languages Python Java
- Query Languages SPARQL SQL
- Semantic Vocabularies RDF R2RML OWL RDFS XSD
- Machine Learning Feature Engineering Hyperparameter Optimization Model Evaluation
Preferred qualifications capabilities and skills
- Python Libraries RDFLib mOWL PyKEEN
- Query Optimization and Rewriting Virtual Tables/Views OWL QL
- Graph Machine Learning Knowledge Graph Embeddings Graph Neural Networks
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