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Ontologist in München, Deutschland; Deutschland, Europa

... Job summaryProduct Knowledge Ontology TeamThe vision of the Product Knowledge Ontology Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge...

Jobbeschreibung

BESCHREIBUNG

Job summary
Product Knowledge Ontology Team

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 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.


Tasks and 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
· 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


Inclusive Team Culture:
Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs.


Work/Life Harmony:
Our team believes that striking the right balance between work and your outside life is key. Our work is not removed from everyday life, but instead is influenced by it. We offer flexibility in working hours and will work with you to facilitate your own balance between your work and personal life.


Career Growth:
Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing.

Perks:
· You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer.
· We have offices in five locations around the globe. We will consider candidate placement in: Seattle, Munich, Japan, New York, and Dublin.
· You’ll receive on the job training and group development opportunities.


Extra Informationen

Status
Inaktiv
Standort
München, Deutschland; Deutschland, Europa
Jobart
Teilzeitjob
Tätigkeitsbereich
Transport / Logistik / Fahrer / Kurier, Sales / Vertrieb
Führerschein erforderlich?
Nein
Auto erforderlich?
Nein
Motivationsschreiben erforderlich?
Nein

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