Taxonomist, Supply Domain - Shape Search & Listings Hybrid

VINTED; City Of London; Hybrid; GBP 60,000 - 96,000; Full time

Job summary

A leading e-commerce platform in the UK is seeking a Taxonomist to develop and maintain product taxonomies, supporting a seamless seller and buyer experience. The role involves working on taxonomy design, data structures, and improving navigation. Ideal candidates will have experience in taxonomy development, strong communication skills, and knowledge of machine-learning classification systems. This position offers competitive compensation and a hybrid work model.

Benefits

Share-options programme

30 days paid annual leave

Newest MacBook models

Mental health support

Home office support budget

Daily lunch allowance

Team-building events

Monthly shopping budget

Subsidised gym membership

Subsidised pension plan

Supplemental health insurance

Life and disability insurance

Subsidised transportation ticket

Workation opportunities

Dog-friendly office

Qualifications

• Experience in developing taxonomies and/or ontologies for varied systems.
• Ability to articulate benefits of taxonomy to diverse audiences.
• Experience with taxonomies for search and content management systems.
• Experience in building taxonomies for machine-learning systems.

Responsibilities

• Design and maintain product taxonomies and navigation.
• Implement ontologies and data structures for member content.
• Research product attributes for improved searches and descriptions.
• Work with research and data analysts to test taxonomy structures.

Skills

Taxonomy development

Communication skills

Logical thinking

Fluency in English

Basic SQL

Excel/Google Sheets

Job description

A leading e-commerce platform in the UK is seeking a Taxonomist to develop and maintain product taxonomies, supporting a seamless seller and buyer experience. The role involves working on taxonomy design, data structures, and improving navigation. Ideal candidates will have experience in taxonomy development, strong communication skills, and knowledge of machine-learning classification systems. This position offers competitive compensation and a hybrid work model.