Ontologist / Knowledge Modeler

Dallas, TX, US • Posted 3 days ago • Updated 3 days ago
Full Time
On-site
$120,000 - $140,000/yr
Fitment

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Job Details

Skills

  • Ontologist
  • Knowledge Modeler
  • Apache Jena
  • Artificial Intelligence
  • Data Extraction
  • Ontologies
  • Search Engineering
  • Semantic Search
  • Data Science
  • Emerging Technologies
  • FOCUS
  • Financial Services
  • Graph Databases
  • Health Care
  • Java
  • Knowledge Management
  • Advanced Analytics
  • Analytics
  • Attention To Detail
  • Banking
  • Collaboration
  • Communication
  • Leadership
  • Linked Data
  • Machine Learning (ML)
  • Management
  • Meta-data Management
  • Modeling
  • Mortgage
  • Natural Language Processing
  • Network
  • Ontology Engineering
  • Open Source
  • Python
  • Real-time
  • SPARQL
  • Science
  • Semantics
  • Visualization
  • Accessibility
  • Neo4j
  • ArangoDB
  • BIAN
  • MISMO
  • Blazegraph

Summary

POSITION / TITLE: Ontologist / Knowledge Modeler  Location:- Dallas TX-Onsite role FTE Role 
Who are we looking for?
We are seeking an experienced Ontologist / Knowledge Modelerwith 5+ years of experience to drive the design and implementation of knowledge graphs, ontologies, and data models for our organization. The ideal candidate will possess hands-on experience with graph database technologies and knowledge modeling, leveragingopen-source toolsfor building scalable, interoperable solutions. Expertise in industry standards such asBanking Industry Architecture Network (BIAN)andMortgage Industry Standards Maintenance Organization (MISMO)is highly desirable.
Responsibilities:

Knowledge Modeling & Ontology Design:
  • Develop ontologies and taxonomies using open-source knowledge graph tools likeApache JenaandRDF4J. 
  • Build and refine knowledge graphs for structured data representation, aligning with standards such as BIAN and MISMO. 
  • Design scalable architectures for linked data and semantic models, integrating data from multiple sources. 
 Data Interoperability & Standards Alignment: 
  • Ensure data interoperability by aligning ontologies with industry standards and regulatory frameworks. 
  • Design metadata schemas and common data vocabularies, leveragingRDFandOWLto enhance data accessibility. 
oUse tools likeProtgandTopBraid Composerto define and manage ontology structures. 
  • Open-Source Tool Integration: 
  • Integrate graph database solutions such asNeo4j,ArangoDB, andBlazegraphfor efficient data querying and management. 
  • Employ SPARQL endpoints and graph analytics tools to derive insights from knowledge graphs, using solutions likeGraphDBandJanusGraph. 
  • Develop data models that support semantic search, data extraction, and AI-driven recommendations. 
 Advanced Analytics & Knowledge Representation: 
  • Collaborate with AI/ML teams to implement natural language processing and contextual data retrieval using knowledge graphs. 
  • Enhance data discovery and search capabilities through graph-based search relevancy and knowledge representation. 
Required Skills and Qualifications 

Experience:
  • Minimum of 3years in ontology development, knowledge modeling, and graph database management. 
  • Proven track record with BIAN, MISMO, and other relevant industry standards. 
  • Familiarity with open-source graph databases and their applications in real-time analytics and data interoperability. 
 Technical Skills: 
  • Proficiency inRDF/OWL,SPARQL, andknowledge graph platformslike Neo4j, ArangoDB, and Blazegraph. 
  • Experience withknowledge graph visualizationtools likeGraphistryandGephi. 
  • Strong programming skills inPythonorJavato implement custom graph applications and integrations. 
 Domain Knowledge: 
  • Expertise in financial services, banking, and/or mortgage industry standards and processes. 
  • Knowledge of healthcare or regulatory standards is a plus. 
  • Ability to incorporate domain knowledge into semantic models for actionable business insights. 
Behavioral Skills 

Excellent communication skills for conveying complex concepts to technical and non-technical stakeholders.

Ability to work both independently and within a team setting, showing leadership in best practices.

Proactive, innovative, and detail-oriented, with a strong focus on emerging technologies.

Educational Qualifications

Bachelor s or Master s degree inInformation Science, Data Science, Knowledge Management, or a related field.

Certifications inontology managementordata standardsare highly valued.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10114281
  • Position Id: 8999381
  • Posted 3 days ago
Contact the job poster
JK

Jatin Kumar

Recruiter @ Alltech Consulting Services, Inc.
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