Staff Data Scientist (Catalog)
Staff Data Scientist on Coupang's Catalog technology team in Taipei, designing next-generation AI and agentic systems to enrich product catalog data (text, images, video, reviews) at scale using multi-modal LLMs plus classical statistics/ML, and setting technical direction for enriching tens of millions of listings.
- Compensation
- Not disclosed
- Location
- Taipei, Taiwan
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, or another quantitative discipline with 8+ years of relevant industry or academia experience
- Deep hands-on experience across statistics and ML fundamentals, applied to production systems
- Strong critical thinking and ability to solve ambiguous problems, with experience designing data science solutions for business problems
- Ability to independently conduct analysis via data manipulation, hypothesis formulation, experiment design, and statistical analysis
- Excellent written and verbal communication skills for technical and business stakeholders, including presentation development and delivery
Nice to have
- Production LLM/agentic system experience
- Ability to model ambiguous business and operational problems at the appropriate level of abstraction with focus on practical solutions
- Ability to think in scalable systems: pipelines, LLM-embedded workflows, Human In The Loop workflows, hybrid agentic pipelines
- Advanced proficiency with ML frameworks and tools including Python, TensorFlow, and PyTorch, used in conjunction with LLMs
- Deep understanding of the e-commerce business domain and ability to apply cutting-edge models in production driving measurable results
Full description
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.