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Product Knowledge Ontology Specialist

vor 2 Monaten


Munich, Bayern, Deutschland Amazon Development Center Germany GmbH Vollzeit
About the Role

We are seeking an experienced Ontologist to join our Product Knowledge Ontology Team at Amazon Development Center Germany GmbH. As an Ontologist, you will play a key role in developing and maintaining our product knowledge foundation, enabling seamless product discovery for customers across various Amazon experiences.

Key Responsibilities
  • Design and implement logical, semantically rich data models for Amazon's vast product catalog, ensuring comprehensive sub-domain coverage and machine-inferable ontologies.
  • Conduct research on global product understanding to develop scalable data models that address customer pain points and enhance product discoverability.
  • Collaborate with business partners, data science, and engineering teams to deliver knowledge-based solutions for product discoverability.
  • Analyze website metrics and product discovery behaviors to inform data-driven decisions on optimizing knowledge graph data models globally.
  • Contribute to the development of new tool features and processes for the Ontology team, driving alignment to ontology modeling and technology best practices.
About the Team

Our team values diversity, inclusivity, and career growth. We offer continuous access to internal affinity groups, diversity programs, and training sessions to support your professional development. As a global team, we celebrate diverse cultures and backgrounds, and we are committed to furthering our culture of inclusion.

Requirements
  • Master's degree in Library Science, Information Systems, Linguistics, or equivalent professional experience.
  • 3+ years of relevant work experience in ontology and/or taxonomy roles.
  • Proven skills in data retrieval and research techniques, with the ability to communicate complex processes in simple language.
  • Familiarity with Semantic Web technologies, query languages, and validation/reasoning standards.
  • Knowledge of open-source and commercial ontology engineering editors.