Taxonomist

We are looking for a detail‑obsessed, data driven Taxonomist to architect and steward the classification framework that powers our e‑commerce platform. You will be the backbone of how millions of products are discovered, surfaced, and recommended to shoppers, working at the intersection of information architecture, AI training data, and customer experience. In this role, you will design scalable category trees, define attribute schemas, and collaborate closely with machine learning engineers to ensure our AI‑powered search, recommendation, and personalization engines are trained on clean, consistent, and semantically rich product data. Your taxonomies will directly influence conversion rates, catalog quality scores, and the personalized experience. Responsibilities Taxonomy Design & Governance Design, build, and maintain a multi‑level product taxonomy (category trees, sub‑categories) aligned with business verticals and customer needs. Establish and enforce taxonomy governance standards, naming conventions, and classification rules across all product lines. Keep the category system up to date by adding new categories when needed, removing ones that are no longer used, and fixing any conflicts where products are placed in the wrong category. Conduct regular audits to detect taxonomy drift, miscategorizations, and data quality issues at scale on the live app and at the backend. Define product attribute schemas (facets, filters, and metadata fields) for each category, ensuring completeness, consistency, and searchability. Make sure product details (like size, color, or material) are consistently organized across all categories and standardized. Collaborate with catalog & content operations team to create data entry standards and attribute validation rules. AI & Smart Platform Collaboration Support development of AI‑assisted auto‑classification and auto‑tagging pipelines by defining ground truth datasets and evaluation criteria. Build lists of related words and search terms to help the app better understand what shoppers are looking for and surface the right products. Review how the AI is categorizing products, spot mistakes, and share clear feedback to help it get smarter over time. Cross‑Functional Partnership Work with Search & Discovery teams to align taxonomy structures with faceted navigation, filter logic, and SEO requirements. Collaborate with Merchandising and Category Managers to reflect business priorities and emerging trends in taxonomy updates. Partner with merchants onboarding & experience team to streamline product data ingestion and enforce classification compliance at source. Liaise with UX/UI teams to validate that category structures align with front‑end navigation patterns and customer browsing behavior. Data Quality & Tooling Own the taxonomy management toolset and drive process improvements. Produce regular reporting on catalog coverage, classification accuracy, attribute completeness, and taxonomy health KPIs. Develop and maintain documentation, taxonomy guides, and onboarding materials for internal teams and third‑party sellers. Qualifications Autonomous Mindset: Proactively identify gaps and opportunities within the taxonomy and catalog data, taking initiative to propose and implement improvements without waiting to be asked. 3–6 years of experience in taxonomy, information architecture, data governance, or catalog management — preferably within an e‑Commerce, retail, or marketplace environment. Proven track record designing hierarchical classification systems for large, diverse product catalogs (200K+ SKUs). Deep understanding of product attribute modeling, faceted search, and metadata standards (GS1, UNSPSC, or similar). Hands‑on experience with PIM, CMS (Product Information Management) systems. Proficiency with data tools: Excel / Google Sheets, SQL (for querying product data), and basic scripting (Python preferred). Strong analytical mindset with the ability to identify inconsistencies and drive systematic resolutions across large datasets. Excellent written and verbal communication skills in English and Arabic ; ability to document complex classification logic in clear, accessible language. #J-18808-Ljbffr