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Salary
≈ $80k – $184k per year (Estimated)
Location
In office (Seoul)
Seniority
Staff

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Aug 12, 2026. Coupang scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Coupang is a leading South Korean e-commerce company founded in 2010 that operates one of the country's largest online retail platforms. The company is widely recognized for its specialized logistics network, known as "Rocket Delivery," which enables same-day or next-day fulfillment for millions of products. In addition to online shopping, Coupang has expanded its ecosystem into digital streaming with Coupang Play, food delivery through Coupang Eats, and international markets such as Taiwan.

About us

Coupang Eats is creating new experiences that make everyday life more convenient for customers by expanding its services beyond food delivery into grocery and retail shopping. Driven by a constant commitment to delivering a better customer experience, we continue to challenge ourselves and lead innovation across new services and categories.

Coupang Eats empowers employees who create opportunities and deliver results by giving them greater roles and responsibilities. Here, you can turn your ideas into action, create even greater opportunities through your achievements, and experience the fulfillment of directly driving business growth.

If you want to grow alongside experts in their respective fields and take on even greater challenges together, join Coupang Eats today.

About the Role

Coupang Eats is looking for a Data Scientist who can go beyond analysis and build systems that directly influence business decisions at scale.

In this role, you will work on complex, real-world problems across marketplace operations, with huge amount of data having a lot of complexity. You will be expected to turn these challenges into structured solutions by combining analytical thinking, modeling, and production-ready implementations.

Why This Role

  • This is a hands-on role with strong ownership - from framing problems to deploying solutions that drive measurable impact.
  • You will work across Coupang Eats’ Korea and Japan markets, solving similar classes of problems under different data conditions and operational environments, and scaling solutions across regions.
  • The role leans heavily toward building scalable modeling and automation systems (~70%), with a smaller portion focused on analytical exploration and insights (~30%).
  • Direct impact on a fast-growing, highly competitive marketplace
  • Opportunities to work on large-scale, complex, real-world data problems
  • High ownership and ability to see your work used in production and direct interaction with leadership team in Coupang Eats.

What You Will Work On

You will work on problems where simple analysis is not sufficient, requiring scalable systems and automated decision logic.

Platform Coverage

  • Developing image recognition to help our restaurant onboard to Coupang Eats quickly
  • developing AI solutions to generate marketing targeting segments and even banners, creatives

Data Automation at Scale

  • Replace manual processes with automated pipelines
  • Build systems that generate reliable datasets used for business decisions
  • Improve data quality and coverage with minimal manual intervention
  • These systems directly power downstream decisions such as pricing, selection, and marketplace strategy

Operational & Optimization Problems

  • Work on problems such as delivery efficiency, ETA accuracy, and marketplace balance
  • Translate operational challenges into data-driven solutions that can be deployed and iterated on
  • Focus on improving not just model performance, but real-world outcomes

What You Will Do

  • Break down ambiguous business problems into structured, solvable components
  • Design and implement scalable solutions combining data processing, modeling, and system logic
  • Own the full lifecycle: problem definition → solution design → deployment → iteration
  • Build production-ready code and collaborate closely with engineers
  • Partner with stakeholders to ensure solutions are aligned with business goals

What We Are Looking For

Problem Solving & Ownership

  • Strong ability to work through open-ended problems by analysing business requirements and applying AI/ML techniques
  • Comfortable making decisions based on data and imperfect information
  • Track record of delivering practical solutions with measurable impact

Technical Strength

  • Proficiency in Python or SQL + vibe-coding and harness engineering.
  • Experience working with large-scale data and building reliable data, AI workflows, AI agents.
  • Familiarity with modeling, algorithms, or optimization techniques
  • Ability to write clean, maintainable, and production-quality code

Ways of Working

  • Focus on building solutions that scale rather than one-off analyses
  • Strong learning agility - able to pick up new tools or approaches quickly
  • Pragmatic mindset: choose the right approach for the problem, not just the most complex one
  • English proficiency preferred

Recruitment Process and Others:

Recruitment Process

  • Application Review - 1st Interview - Virtual Onsite Interviews - 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.

Things 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/en/privacy-policy/

Document Return Policy

  • This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
  • A job applicant, who has applied but not been finally selected for a position at Coupang (the “ Company ”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
  • A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ([email protected]) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
  • In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

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