Data Scientist

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 Selection 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 , brand , manufacturer enrichment, data mining and big data management- so that bring to Coupang the selection that our customers love.

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 Selection technology a competitive advantage.

What You Will Do 

• Design the next generation of selection data mining systems that work at scale across extraction, query-based enrichment, dynamic product info from Selection big data sources using agentic and automated workflows. You will influence metric definition and will raise the bar on quality, revenue prioritization and opportunity capture.

• Set the technical direction for how we evolve existing successful methods and models into scalable, cost-effective systems that can impact the quality of millions of products acquired.

• Design and develop statistical metrics and experiments to guide our selection strategy.

• 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