Senior Staff Data Scientist, Ontology Modeling
GE Vernova · Posted Oct 8
Power generation, wind turbine, grid solution, and electrification services
Get a personal compatibility score
Add a resume for personal matches
About the role
GE Vernova's Gas Power Data Science organization is building an enterprise ontology and knowledge graph capability to give AI agents, GenAI applications, and advanced analytics a shared, governed representation of the business. This role owns the ontology and knowledge graph strategy across all Gas Power domains — services, engineering, and commercial — building the semantic connective tissue that lets Gas Power derive intelligence from its industrial data. It is a program-level role weighted toward setting modeling standards, resolving cross-domain conflicts, and scaling model-building capability, while remaining technically hands-on enough to build and debug models.
What you will do
- Own the ontology and knowledge graph strategy across all Gas Power domains: services, engineering, and commercial, ensuring domain models interoperate as one coherent semantic layer.
- Set enterprise-wide modeling standards and patterns (OWL 2, RDF/RDFS, SHACL, SPARQL) that all domain models must follow.
- Resolve cross-domain modeling conflicts and serve as the final technical authority when domain models compete or overlap.
- Design and own the organization's model for scaling ontology work: how contractors, FDEs, and SMEs are staffed, trained, and deployed across the full program.
- Build and evolve the training curriculum that brings SMEs to self-sufficiency in building and maintaining their own domain models.
- Own the organization's overall ontology building capability, measured not by any single domain's output, but by how well the program scales without bottlenecking on any one person.
- Define the model approval framework: review criteria, review board/process, and escalation path for contested or high-risk models.
- Serve as final arbiter on contested or high-risk model approvals, while delegating day-to-day approvals within the defined framework.
- Own the semantic model governance framework end to end: versioning policy, model lifecycle, access model, and metadata/lineage management.
- Ensure governance scales as the knowledge graph grows, auditing for drift, inconsistency, and standards erosion across domains.
- Partner with the GenAI/ML and AI platform teams to ensure the knowledge graph is the grounding layer for RAG and agentic workflows program-wide.
- Communicate modeling trade-offs, and delivery progress clearly to technical teams and senior stakeholders.
- Contribute reusable standards, reference documentation, and mentoring that strengthen ontology and semantic modeling capability across the team.
Skills used in this role
What the employer is looking for
- Bachelor’s degree in computer science, information science, data science, engineering, or a related field, or equivalent practical experience.
- 4- 6 years of professional experience in data modeling, semantic technologies, or knowledge engineering, including at least 1-2 years working directly with ontologies.
- Professional experience delivering data models, semantic technologies, or knowledge engineering solutions, including direct work with ontologies or knowledge graphs.
- Hands-on proficiency with OWL 2, RDF/RDFS, SHACL, and SPARQL.
- Experience with at least one ontology, graph, or semantic modeling platform or tool, such as Neo4j, Protégé, Palantir Foundry, or Atlan.
- Working knowledge of modern cloud data environments and the integration patterns required to connect semantic layers to enterprise data products.
- Demonstrated ability to independently deliver a defined technical scope within a broader architecture and product roadmap.
- Strong communication and stakeholder-management skills, with the ability to convert ambiguous requirements into clear semantic models and recommendations.
- Demonstrated ability to work independently on a defined scope while collaborating within a broader technical roadmap.
Preferred qualifications
- Experience in an industrial, energy, or manufacturing environment (services demand, asset performance, or engineering data domains a plus).
- Exposure to GenAI/LLM applications, particularly RAG architectures grounded in structured knowledge.
- Familiarity with MCP (Model Context Protocol) or similar agent-to-data integration patterns.
- Experience contributing to platform evaluation or architecture decision documents for executive audiences.
- Knowledge of data governance, metadata management, or MLOps practices (MLflow or similar).
Benefits and support
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
- discretionary annual bonus
About GE Vernova
GE Vernova Inc. is a global energy company that provides equipment, services, and software to generate, transfer, orchestrate, convert, and store electricity. Operating through its Power, Wind, and Electrification segments, the company supports a broad customer base across more than 100 countries in powering economies and driving the energy transition. Formed as part of the strategic spin-off of General Electric's energy portfolio, GE Vernova is dedicated to electrifying and decarbonizing the world.
- Industry
- Energy
- Company size
- 75000+ employees
- Founded
- 2024
- Location
- Cambridge, Massachusetts, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer and President
Stephen F. Angel
Chairman of the Board
Lola Lin
Chief Legal Officer and Secretary
Roger Martella
Chief Corporate Officer, Chief Sustainability Officer & Head of Global Government Affairs
Eric Gray
CEO, Power Segment
Recent coverage
GE Vernova News
GE Vernova to Double the Number of MIT Interns and Permanent Hires in 20272026-10-06
GE Vernova News
GE Vernova-powered projects receive 2026 POWER Magazine Awards for advancements in energy efficiency and decarbonization2026-10-05
GE Vernova News
GE Vernova declares fourth quarter 2026 dividend2026-09-30
GE Vernova News
GE Vernova Hitachi Nuclear Energy welcomes NRC issuance of construction permit for BWRX-300 SMR at TVA Clinch River site2026-09-29