Amazon.com Services LLC

Editorial, Writing, Content Management, Ontology, ecp

Ontologist,ProductKnowledge

$83–145k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Ontologist, Product Knowledge at Amazon.com Services LLC. Skills: Ontology modeling, Taxonomy development, Product knowledge. Develop data models. Ensure ontologies provide coverage”

What You'll Achieve.

Optimize product discovery; Enhance product discoverability

Industry & Context.

Editorial, Writing, Content Management, Ontology, ecp
Problems you'll solve

Problem-solving

What They're Looking For.

Must Have

3+ years ontology/taxonomy experience, Degree in Library Science, Information Systems, Linguistics or equivalent, Experience in data retrieval techniques, Familiarity with Semantic Web technologies, Knowledge of ontology engineering editors, Detail-oriented problem-solving, Ability to work in fast-changing environment, Ability to manage ambiguity, Proven track record of communication skills, Proven track record of interpersonal skills, Ability to understand complex processes, Ability to communicate knowledge-based requirements, Written and spoken English proficiency

Nice to Have

Experience building ontologies in e-commerce, Experience building ontologies in semantic search, Experience with schema-level constructs, Knowledge of software engineering life cycle, Master’s degree in Library Science, Information Systems, Linguistics or relevant fields

What You'll Do.

Ensure ontologies provide coverage

Research Amazon products

Develop scalable data models

Expand data retrieval techniques

Analyze website metrics

Analyze product discovery behaviors

Optimize knowledge graph data models

Contribute to tool features

Contribute to team processes

Drive alignment to best practices

Coordinate cross-functional projects

How You'll Work.

Team & Collaboration

Global team; Business partners; Data science teams; Engineering teams; Technical teams; Non-technical teams

Communication Scope

Communicate processes; Communicate requirements

Full Job Description

The vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers. 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. Key job 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 onto

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