Staff Data Scientist (Selection)

Posted 2 Days Ago
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Taipei City, TWN
In-Office
Senior level
eCommerce
Building the future of eCommerce. We push the boundaries of what’s possible to solve problems!
The Role
Staff Data Scientist responsible for designing scalable selection data-mining and enrichment systems using agentic workflows, LLMs, statistics, and machine learning. The role includes experimentation, metric development, model research, production system design, business analysis, and cross-functional collaboration to improve product data quality, revenue prioritization, and e-commerce selection.
Summary Generated by Built In

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

  • 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 Qualifications  

  • Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, or any other quantitative disciplines, with 8+ years of relevant experience working in industry or academia
  • Deep hands-on experience across statistics and ML fundamentals, with a track record of applying them to production systems
  • Strong critical thinking skills and ability to solve ambiguous problems, with proven experience in designing data science solutions to meet business problems
  • Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis
  • Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and deliver

Preferred Qualifications 

  • Production LLM/ agentic system experience
  • Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions
  • Ability to think in systems that scale: pipelines, LLM-embedded workflows, Human In The Loop workflows, hybrid pipelines with context-specific agentic capabilities, etc.
  • Advanced proficiency with machine learning frameworks and tools, including Python, TensorFlow, and PyTorch, and using them in conjunction with LLMs
  • A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable result

  

Recruitment Process  

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

 

Details to Consider 

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Coupang does not discriminate against disabled applicants or those with veteran status.
  • We are proud to offer equal opportunities for all applicants.

 

Privacy Notice​ 

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/​ 

  

Skills Required

  • Bachelor's or master's degree in mathematics, statistics, computer science, engineering, or another quantitative discipline
  • 8+ years of relevant industry or academic experience
  • Hands-on experience with statistics and machine learning fundamentals applied to production systems
  • Strong critical thinking and ability to solve ambiguous business problems with data science solutions
  • Ability to independently perform data manipulation, hypothesis formulation, experiment design, and statistical analysis
  • Excellent written and verbal communication skills with technical and business stakeholders
  • Production experience with LLM or agentic systems
  • Ability to model ambiguous business and operational problems at the appropriate abstraction level
  • Experience designing scalable pipelines, LLM-embedded workflows, human-in-the-loop workflows, or hybrid agentic pipelines
  • Advanced proficiency with Python, TensorFlow, PyTorch, and LLM integration
  • Deep understanding of e-commerce and applying advanced models in production

Coupang Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Coupang and has not been reviewed or approved by Coupang.

  • Healthcare Strength — Benefits are described as robust, including medical, dental, vision, disability, life, mental health, and transgender healthcare. Some locations also offer on-site or virtual health screenings that enhance preventive care access.
  • Retirement Support — Financial programs include a 401(k) with company matching and an employee stock purchase plan alongside performance bonuses. Feedback suggests these elements provide a structured foundation for long-term savings and wealth building.
  • Leave & Time Off Breadth — Paid time off is described as generous with accrual increasing with tenure, complemented by company-paid holidays and parental leave. Flexible work arrangements in some roles further support time away when needed.

Coupang Insights

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The Company
HQ: Hanyang
70,000 Employees
Year Founded: 2010

What We Do

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial, surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Why Work With Us

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact.

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