Staff~Sr.Staff Data Scientist (Coupang Eats)

이 역할에서는 대규모이면서 복잡한 데이터가 존재하는 marketplace 운영 전반의 실제 문제를 다루게 됩니다. 분석적 사고(analytical thinking), modeling, 그리고 production-ready 구현을

결합하여 이러한 문제들을 구조화된 해결책으로 전환하는 것이 주요 기대 역할입니다.

• Scalable modeling 및 automation 시스템 구축 (~70%)
• Analytical exploration 및 insight 도출 (~30%)

• 빠르게 성장하는 경쟁 환경의 marketplace에 직접적인 impact
• 대규모·고복잡도의 real-world data 문제 해결 경험
• 높은 ownership과 production 적용 및 leadership team과의 직접 협업 기회

• restaurant onboarding을 빠르게 지원하기 위한 image recognition 개발
• 마케팅 Target Segment 및 banner/creative 생성을 위한 AI 솔루션 개발

• 반복적인 manual process를 자동화된 pipeline으로 대체
• 비즈니스 의사결정에 활용되는 신뢰 가능한 dataset 생성 시스템 구축
• 최소한의 manual intervention으로 데이터 품질 및 coverage 개선

• pricing
• selection
• marketplace strategy

• delivery efficiency, ETA accuracy, marketplace balance 등 문제 해결
• 운영상의 문제를 data-driven solution으로 변환 후 deployment 및 iteration 수행
• 단순한 model 성능이 아니라 실제 비즈니스 outcome 개선에 집중

• 모호한 비즈니스 문제를 구조화된 해결 가능한 형태로 분해
• data processing, modeling, system logic을 결합한 scalable solution 설계 및 구현
• 전체 lifecycle ownership
• problem definition → solution design → deployment → iteration
• production-ready code 작성 및 engineer와의 긴밀한 협업
• stakeholder와의 협업을 통해 비즈니스 목표와 alignment 확보

• open-ended problem에 대해 비즈니스 요구사항을 분석하고 AI/ML 기법으로 해결할 수 있는 역량
• 불완전한 정보 속에서도 데이터 기반으로 의사결정을 내릴 수 있는 능력
• measurable impact를 만들어낸 실질적인 solution delivery 경험

• Python 또는 SQL proficiency + vibe-coding 및 harness engineering 경험
• 대규모 데이터 환경에서의 data 및 AI workflow, AI agent 구축 경험
• modeling, algorithm, optimization 기법에 대한 이해
• clean하고 maintainable하며 production-quality code 작성 능력

• 일회성 분석이 아니라 확장 가능한 solution 구축 중심의 사고방식
• 새로운 도구와 접근법을 빠르게 학습하는 learning agility
• 가장 복잡한 방법이 아니라 문제에 적합한 pragmatic approach을 선택하는 역량
• 영어 커뮤니케이션 가능자 우대

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.

• 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.

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

• 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

• 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

• 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

• 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

• 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

• 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

• Application Review - SQL Live Coding Interview - Onsite (Zoom) 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.

• 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.

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential

treatment for employment in accordance with applicable laws.

• Hiring may be restricted in case the legal qualifications required for hiring and work performance is not met.
• This is a full-time regular position and includes 12 weeks of probation period; provided, however, the probationary period may

be either skipped, shortened or extended if necessary for business purposes.

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located

below.

• 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 It by email (recruitingops@coupang.com). 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 his/her hiring documents will be destroyed

immediately in accordance with the Personal Information Protection Act.

• The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not

applicable.

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

globally diverse team.