Ontologist II - AMZ9740721

Amazon•Seattle, WA

8d•Onsite

About The Position

This role involves developing logical, semantically rich, and extensible data models for Amazon's expansive product catalog. The goal is to ensure ontologies provide comprehensive sub-domain coverage that are available for machine ingestion and inference. The position requires researching worldwide understanding of Amazon products to develop scalable data models that solve customer problems and enhance product discoverability. A key responsibility is to create new schema using Generative Artificial Intelligence (generative AI) models. Additionally, the role will expand existing data retrieval techniques by utilizing the extensive product catalog and query languages, and analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing knowledge graph data models globally. The Ontologist II will 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 the organization and across Amazon, and coordinate cross-functional projects with a broad range of technical and non-technical teams.

Requirements

Master's degree or foreign equivalent degree in Information Science, Library Science, Linguistics, or a related field.
Three years of experience in the job offered or a related occupation.
One year of experience in data retrieval and data research techniques.
One year of experience in communicating knowledge-based requirements and needs to engineering and retail teams.
One year of experience working with Semantic Web technologies, query languages and validation and reasoning standards.
One year of experience in knowledge of open-source and commercial ontology engineering editors.

Responsibilities

Develop logical, semantically rich, and extensible data models for Amazon's expansive product catalog.
Ensure 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.