About the job
As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners, data science and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation.
Responsibilities
Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog
Ensure our ontologies provide comprehensive sub-domain coverage that are available for machine ingestion and inference
Research worldwide understanding of Amazon products to develop scalable data models that solve customer problems and enhance product discoverability
Create new schema using Generative Artificial Intelligence (generative AI) models
Expand existing data retrieval techniques by utilizing our extensive product catalog and query languages
Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally
Contribute to the development of new tool features and processes for the Ontology team
Drive alignment to ontology modeling and technology best practices and principles within our organization and across Amazon
Coordinate cross-functional projects with a broad range of technical and non-technical teams
Qualifications
Minimum
Experience building ontologies, taxonomies, and semantic relation frameworks
Degree in Library Science, Information Systems, Linguistics or equivalent professional experience
3+ years of relevant work experience working in ontology and/or taxonomy roles
Proven skills in data retrieval and data research techniques
Ability to quickly understand complex processes and communicate them in simple language
Ability to communicate knowledge-based requirements and needs to engineering and retail teams
Familiarity with Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)
Knowledge of open-source and commercial ontology engineering editors (e.g. Protégé, TopQuadrant products, PoolParty)
Detail-oriented problem-solving, ability to work in fast-changing environment and manage ambiguity
Proven track record of strong communication and interpersonal skills
Preferred
Master’s degree in Library Science, Information Systems, Linguistics or other relevant fields
Experience building ontologies in the e-commerce and semantic search spaces
Experience working with schema-level constructs (e.g. higher-order classes, punning, property inheritance)
Familiarity with software engineering life cycle
Familiarity with ontology manipulation programming libraries
Exposure to data science and/or machine learning, including graph embeddings