Senior Staff Data Scientist, Ontology Modeling
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About the role
GE Vernova's Gas Power Data Science organization is building an enterprise ontology and knowledge graph for AI and analytics across its business domains. You will own ontology strategy, modeling standards, governance, and the program's capability to scale semantic modeling.
What you'll do
- Set ontology and knowledge graph strategy across Gas Power domains
- Establish modeling standards and resolve cross-domain conflicts
- Design training and delivery processes for ontology contributors
- Define model governance, lifecycle, versioning, and approval frameworks
- Partner with AI teams to ground RAG and agentic workflows in the knowledge graph
Skills
Must have
- Data modeling
- Ontologies
- Owl 2
- Rdf/rdfs
- Shacl
- Sparql
- Knowledge graphs
- Semantic modeling
Nice to have
Tools
- Neo4j
- Protégé
- Palantir foundry
- Atlan
- Mlflow
Who it's for
- Education
- Bachelor's degree
- Degree
- computer science, information science, data science, engineering
- Experience
- 4 to 6 years
- Domain
- industrial energy
About GE Vernova
GE Vernova has 78 open roles in Bangalore, at John F. Welch Technology Centre (JFWTC). See every GE Vernova role.
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