Data Strategist: Intelligent Information Solutions

1 week ago


Melbourne, Victoria, Australia beBeeGraph Full time $90,000 - $130,000
About the Role

We are seeking a skilled Knowledge Graph Engineer to join our team and contribute to the design and development of intelligent data solutions.

This is an exciting opportunity for someone who wants to work at the intersection of data and AI, prototyping, building, and deploying knowledge graph models that help our clients structure and extract value from complex, interconnected information.

The Key Responsibilities:

  • Model Knowledge Domains: Assist in designing ontologies and taxonomies to represent domain-specific knowledge in structured graph formats.

Build Graph Pipelines: Develop and support pipelines that transform unstructured and structured data into graph-based formats using tools like RDF, OWL, SPARQL or property graphs.

  • Support Reasoning & Discovery: Enable semantic search and inference over knowledge graphs to enhance information retrieval and decision-making.

Collaborate Across Teams: Work with data scientists, engineers, and domain experts to integrate graph models into broader AI or analytics solutions.

  • Prototype & Iterate: Support research, testing, and refinement of new approaches to graph construction, link prediction, and entity disambiguation
Requirements
  • Exposure to or hands-on experience with graph databases (e.g., Neo4j, Stardog, GraphDB, Amazon Neptune)
  • Familiarity with RDF, SPARQL, OWL, or property graph models
  • A foundational understanding of ontologies, linked data, or semantic technologies
  • Experience working with Python or another scripting language
  • Strong curiosity and problem-solving skills, with a willingness to learn and work across data and AI disciplines
The Ideal Candidate

Our ideal candidate will have a passion for working with complex data structures, a strong understanding of AI and machine learning concepts, and excellent problem-solving skills. If you are excited about the prospect of joining a talented team of data professionals and contributing to the development of innovative data solutions, we want to hear from you



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