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