Staff~Sr.Staff Data Scientist (Coupang Eats)

coupanginternalยท Eats Finance & Strategy
Apply Now โ†—
๐Ÿ“ Seoul, South Korea

About this role

๋ฐ˜๋“œ์‹œ ์ฒจ๋ถ€๋œ โ€˜์‚ฌ๋‚ด๊ณต๋ชจ์ง€์›์„œโ€ฏ์–‘์‹โ€™์„ ์ž‘์„ฑ ํ›„ ์ œ์ถœํ•˜์—ฌ ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.ย ย 

Please complete the attached Internal Transferโ€ฏRequest Formโ€ฏand submit.ย ย 

๋ฐ˜๋“œ์‹œ ์ฟ ํŒก ์ด๋ฉ”์ผ ๊ณ„์ •์œผ๋กœ ์ง€์›ํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.ย ย 

Please make sure to apply with your Coupang e-mail address.ย ย 

ย 


ย 

About the Role

Coupang Eats๋Š” ๋‹จ์ˆœํ•œ ๋ถ„์„์„ ๋„˜์–ด, ๋น„์ฆˆ๋‹ˆ์Šค ์˜์‚ฌ๊ฒฐ์ •์— ์ง์ ‘ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์‹œ์Šคํ…œ์„ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๋Š” Data Scientist๋ฅผ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ด ์—ญํ• ์—์„œ๋Š” ๋Œ€๊ทœ๋ชจ์ด๋ฉด์„œ ๋ณต์žกํ•œ ๋ฐ์ดํ„ฐ๊ฐ€ ์กด์žฌํ•˜๋Š” marketplace ์šด์˜ ์ „๋ฐ˜์˜ ์‹ค์ œ ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๋ถ„์„์  ์‚ฌ๊ณ (analytical thinking), modeling, ๊ทธ๋ฆฌ๊ณ  production-ready ๊ตฌํ˜„์„ ๊ฒฐํ•ฉํ•˜์—ฌ ์ด๋Ÿฌํ•œ ๋ฌธ์ œ๋“ค์„ ๊ตฌ์กฐํ™”๋œ ํ•ด๊ฒฐ์ฑ…์œผ๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฒƒ์ด ์ฃผ์š” ๊ธฐ๋Œ€ ์—ญํ• ์ž…๋‹ˆ๋‹ค.

ย 

ย 

Why This Role

์ด ํฌ์ง€์…˜์€ ๋ฌธ์ œ ์ •์˜๋ถ€ํ„ฐ ์‹ค์ œ deployment๊นŒ์ง€ ์ „ ๊ณผ์ •์„ ์ง์ ‘ ์ฃผ๋„ํ•˜๋Š” ๋†’์€ ownership์„ ์š”๊ตฌํ•˜๋Š” hands-on ์—ญํ• ์ž…๋‹ˆ๋‹ค.

ํ•œ๊ตญ๊ณผ ์ผ๋ณธ ์‹œ์žฅ์„ ๋ชจ๋‘ ๋‹ค๋ฃจ๋ฉฐ, **์„œ๋กœ ๋‹ค๋ฅธ ๋ฐ์ดํ„ฐ ํ™˜๊ฒฝ๊ณผ ์šด์˜ ์กฐ๊ฑด ์•„๋ž˜์—์„œ ์œ ์‚ฌํ•œ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ , ์ด๋ฅผ region ๊ฐ„ ํ™•์žฅ(scale)**ํ•˜๋Š” ๊ฒฝํ—˜์„ ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

ย 

์—…๋ฌด์˜ ๋น„์ค‘์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค:

  • Scalable modeling ๋ฐ automation ์‹œ์Šคํ…œ ๊ตฌ์ถ• (~70%)
  • Analytical exploration ๋ฐ insight ๋„์ถœ (~30%)

ย 

์ด ํฌ์ง€์…˜์˜ ๋งค๋ ฅ

  • ๋น ๋ฅด๊ฒŒ ์„ฑ์žฅํ•˜๋Š” ๊ฒฝ์Ÿ ํ™˜๊ฒฝ์˜ marketplace์— ์ง์ ‘์ ์ธ impact
  • ๋Œ€๊ทœ๋ชจยท๊ณ ๋ณต์žก๋„์˜ real-world data ๋ฌธ์ œ ํ•ด๊ฒฐ ๊ฒฝํ—˜
  • ๋†’์€ ownership๊ณผ production ์ ์šฉ ๋ฐ leadership team๊ณผ์˜ ์ง์ ‘ ํ˜‘์—… ๊ธฐํšŒ

ย 

ย 

What You Will Work On

๋‹จ์ˆœํ•œ ๋ถ„์„์œผ๋กœ ํ•ด๊ฒฐ๋˜์ง€ ์•Š๋Š” ๋ฌธ์ œ๋ฅผ ๋‹ค๋ฃจ๋ฉฐ,

scalable system๊ณผ automated decision logic์ด ํ•„์š”ํ•œ ์˜์—ญ์„ ๋‹ด๋‹นํ•ฉ๋‹ˆ๋‹ค.

ย 

Platform Coverage

  • restaurant onboarding์„ ๋น ๋ฅด๊ฒŒ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ image recognition ๊ฐœ๋ฐœ
  • ๋งˆ์ผ€ํŒ… Target Segment ๋ฐ banner/creative ์ƒ์„ฑ์„ ์œ„ํ•œ AI ์†”๋ฃจ์…˜ ๊ฐœ๋ฐœ

ย 

Data Automation at Scale

  • ๋ฐ˜๋ณต์ ์ธ manual process๋ฅผ ์ž๋™ํ™”๋œ pipeline์œผ๋กœ ๋Œ€์ฒด
  • ๋น„์ฆˆ๋‹ˆ์Šค ์˜์‚ฌ๊ฒฐ์ •์— ํ™œ์šฉ๋˜๋Š” ์‹ ๋ขฐ ๊ฐ€๋Šฅํ•œ dataset ์ƒ์„ฑ ์‹œ์Šคํ…œ ๊ตฌ์ถ•
  • ์ตœ์†Œํ•œ์˜ manual intervention์œผ๋กœ ๋ฐ์ดํ„ฐ ํ’ˆ์งˆ ๋ฐ coverage ๊ฐœ์„ 

ย 

์•„๋ž˜์™€ ๊ฐ™์€ ์˜์‚ฌ๊ฒฐ์ •์„ ์ง์ ‘์ ์œผ๋กœ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค:

  • pricing
  • selection
  • marketplace strategy

ย 

Operational & Optimization Problems

  • delivery efficiency, ETA accuracy, marketplace balance ๋“ฑ ๋ฌธ์ œ ํ•ด๊ฒฐ
  • ์šด์˜์ƒ์˜ ๋ฌธ์ œ๋ฅผ data-driven solution์œผ๋กœ ๋ณ€ํ™˜ ํ›„ deployment ๋ฐ iteration ์ˆ˜ํ–‰
  • ๋‹จ์ˆœํ•œ model ์„ฑ๋Šฅ์ด ์•„๋‹ˆ๋ผ ์‹ค์ œ ๋น„์ฆˆ๋‹ˆ์Šค outcome ๊ฐœ์„ ์— ์ง‘์ค‘

ย 

ย 

What You Will Do

  • ๋ชจํ˜ธํ•œ ๋น„์ฆˆ๋‹ˆ์Šค ๋ฌธ์ œ๋ฅผ ๊ตฌ์กฐํ™”๋œ ํ•ด๊ฒฐ ๊ฐ€๋Šฅํ•œ ํ˜•ํƒœ๋กœ ๋ถ„ํ•ด
  • data processing, modeling, system logic์„ ๊ฒฐํ•ฉํ•œ scalable solution ์„ค๊ณ„ ๋ฐ ๊ตฌํ˜„
  • ์ „์ฒด lifecycle ownership
  • problem definition โ†’ solution design โ†’ deployment โ†’ iteration
  • production-ready code ์ž‘์„ฑ ๋ฐ engineer์™€์˜ ๊ธด๋ฐ€ํ•œ ํ˜‘์—…
  • stakeholder์™€์˜ ํ˜‘์—…์„ ํ†ตํ•ด ๋น„์ฆˆ๋‹ˆ์Šค ๋ชฉํ‘œ์™€ alignment ํ™•๋ณด

ย 

ย 

What We Are Looking For

Problem Solving & Ownership

  • open-ended problem์— ๋Œ€ํ•ด ๋น„์ฆˆ๋‹ˆ์Šค ์š”๊ตฌ์‚ฌํ•ญ์„ ๋ถ„์„ํ•˜๊ณ  AI/ML ๊ธฐ๋ฒ•์œผ๋กœ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ์—ญ๋Ÿ‰
  • ๋ถˆ์™„์ „ํ•œ ์ •๋ณด ์†์—์„œ๋„ ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜์œผ๋กœ ์˜์‚ฌ๊ฒฐ์ •์„ ๋‚ด๋ฆด ์ˆ˜ ์žˆ๋Š” ๋Šฅ๋ ฅ
  • measurable impact๋ฅผ ๋งŒ๋“ค์–ด๋‚ธ ์‹ค์งˆ์ ์ธ solution delivery ๊ฒฝํ—˜

ย 

Technical Strength

  • Python ๋˜๋Š” SQL proficiency + vibe-coding ๋ฐ harness engineering ๊ฒฝํ—˜
  • ๋Œ€๊ทœ๋ชจ ๋ฐ์ดํ„ฐ ํ™˜๊ฒฝ์—์„œ์˜ data ๋ฐ AI workflow, AI agent ๊ตฌ์ถ• ๊ฒฝํ—˜
  • modeling, algorithm, optimization ๊ธฐ๋ฒ•์— ๋Œ€ํ•œ ์ดํ•ด
  • cleanํ•˜๊ณ  maintainableํ•˜๋ฉฐ production-quality code ์ž‘์„ฑ ๋Šฅ๋ ฅ

ย 

Ways of Working

  • ์ผํšŒ์„ฑ ๋ถ„์„์ด ์•„๋‹ˆ๋ผ ํ™•์žฅ ๊ฐ€๋Šฅํ•œ solution ๊ตฌ์ถ• ์ค‘์‹ฌ์˜ ์‚ฌ๊ณ ๋ฐฉ์‹
  • ์ƒˆ๋กœ์šด ๋„๊ตฌ์™€ ์ ‘๊ทผ๋ฒ•์„ ๋น ๋ฅด๊ฒŒ ํ•™์Šตํ•˜๋Š” learning agility
  • ๊ฐ€์žฅ ๋ณต์žกํ•œ ๋ฐฉ๋ฒ•์ด ์•„๋‹ˆ๋ผ ๋ฌธ์ œ์— ์ ํ•ฉํ•œ pragmatic approach์„ ์„ ํƒํ•˜๋Š” ์—ญ๋Ÿ‰
  • ์˜์–ด ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๊ฐ€๋Šฅ์ž ์šฐ๋Œ€

ย 

ย 

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.

ย 

ย 

Why This Role

  • This is a hands-on role with strong ownership โ€” from framing problems to deploying solutions that drive measurable impact.
  • You will work across Coupang Eatsโ€™ 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.

ย 

ย 

What You Will Work On

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

ย 

ย 

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

ย 

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

ย 

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

ย 

ย 

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 โ†’ solution design โ†’ deployment โ†’ iteration
  • Build production-ready code and collaborate closely with engineers
  • Partner with stakeholders to ensure solutions are aligned with business goals

ย 

ย 

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

ย 

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

ย 

Ways of Working

  • Focus on building solutions that scale rather than one-off analyses
  • Strong learning agility โ€” 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

ย 

ย 

Recruitment Process and Others

Recruitment Process

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

ย 

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.
  • Those eligible for employment protection (recipients of veteranโ€™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.

ย 

Privacy Notice

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

https://privacy.coupang.com/en/land/jobs/

ย 

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 โ€œCompanyโ€), 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 โ€œRequest for Return of Hiring Documentsโ€ [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 applicantโ€™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 applicantโ€™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.

ย 

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.

Frequently Asked Questions

Is the salary disclosed for the Staff~Sr.Staff Data Scientist (Coupang Eats) position at coupanginternal?
The salary for this Staff~Sr.Staff Data Scientist (Coupang Eats) role at coupanginternal is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff~Sr.Staff Data Scientist (Coupang Eats) position at coupanginternal located?
This Staff~Sr.Staff Data Scientist (Coupang Eats) role at coupanginternal is based in Seoul, South Korea. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Staff~Sr.Staff Data Scientist (Coupang Eats) at coupanginternal belong to?
This Staff~Sr.Staff Data Scientist (Coupang Eats) position is part of the Eats Finance & Strategy department at coupanginternal. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff~Sr.Staff Data Scientist (Coupang Eats) position at coupanginternal?
Click the "Apply Now" button on this page. You will be redirected to coupanginternal's official application portal hosted on greenhouse where you can submit your application directly.
When was the Staff~Sr.Staff Data Scientist (Coupang Eats) job at coupanginternal posted?
This Staff~Sr.Staff Data Scientist (Coupang Eats) position at coupanginternal was posted on May 20, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Staff~Sr.Staff Data Scientist (Coupang Eats)
coupanginternal
Apply for this role โ†—

You'll be redirected to coupanginternal's official application page on Greenhouse.