Staff Data Scientist (Catalog)

Company Introduction

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Role Overview

We're in search of a Staff Data Scientist to join our Catalog technology team. This role is ideal for someone deeply passionate about bringing applied research in AI and AI agents to enrich data - incl. product information, images, videos, reviews, prior customer service interactions and more - so that customers can make purchase decisions quickly, easily and confidently.

This role works at the intersection of product, operations, engineering and business. The successful candidate will therefore thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing our mission to make our Catalog technology a competitive advantage.

What You Will Do

• Design the next generation of Catalog systems that work at scale across extraction, query-based enrichment, dynamic product info like product highlights, defect reduction, etc. using agentic and automated workflows. You will influence metric definition and will raise the bar on quality, completeness, readability and accessibility.
• Set the technical direction for how we evolve existing successful methods and models into scalable, cost-effective systems that can impact the quality of tens of millions of listings.
• Conduct comprehensive research and analysis to inform model development, leveraging multi-modal LLMs and classical statistics/ ML.
• Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions.
• Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development
• Be a cross-organization thought leader on both AI as a technology as well as on the next generation of challenges such as evaluations, inconsistent/ dirty labels.

Basic Qualificati