Coupang is reimagining the commerce 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. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd 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.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

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 (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). 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.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

Company Introduction

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 entrepreneurs 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.

Organization Overview

Transportation Technology:
The Transportation Technology team develops processes to ensure accurate and fast delivery, working closely with large-scale freight and transportation companies to make sure every shipment reaches the right destination. Engineers in Coupang’s Transportation Technology team play a key role in driving innovation by responding to rapidly changing business needs while keeping the big picture and long-term company goals in mind. Expansion and growth are critical objectives, providing opportunities to enter new markets and leave a lasting impact.

Fulfillment Technologies:
The Fulfillment Technologies team manages end-to-end processes within fulfillment centers, building systems to improve efficiency in receiving, shelving, inventory, picking, and shipping. The team aims to deliver fast and accurate services to customers by introducing cutting-edge logistics processes and automation. We focus on providing specialized, user-centric services and applying new technologies to build innovative processes.

Responsibilities

• Serve as a Tech Lead within the Global Ops Tech organization across the entire software development lifecycle.
• Act as a key participant in architecture reviews for new platforms, services, and solutions within Coupang.
• Lead company-wide projects as a technical leader.
• Be a trusted problem solver for technical challenges within Global Ops Tech and across Coupang.
• Collaborate with project owners, stakeholders, and designers to improve or implement new applications.
• Continuously pursue improvements in practices to meet industry-standard expectations for quality and timelines.
• Share best practices and drive process improvements across agile teams, enhancing engineering productivity and advancing technical depth and breadth within the team.

Qualifications

• 10+ years of hands-on experience working within engineering teams in fast-paced environments.
• 10+ years of experience designing and developing complex financial systems.
• 5+ years of experience designing and building scalable, high-performance platforms and data pipelines.
• Strong knowledge and experience with big data stacks (e.g., Cassandra, Kafka, Spark, Flink, Hive, S3, Redshift) and NoSQL databases for large-scale data streaming and near real-time processing.
• Proficiency in Java and Spring Framework, with extensive experience in AWS environments.
• Proven experience collaborating with multiple teams to define mission, vision, and roadmap.
• Experience working closely with product and program management teams.

회사 소개

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다. 

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다. 

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요. 

조직 소개:

- Transportation Technology:

Transportation Technology팀은 정확하고 빠른 배송을 위한 프로세스를 개발하여 대규모의 화물 및 운송회사들과 긴밀하게 협력하여 모든 운송이 알맞은 곳에 도착할 수 있도록 합니다. 쿠팡의 Transportation Technology엔지니어의 역할은 빠르게 변화하는 비지니스에 대응하며, 한발 더 나아가는 큰 그림과 회사의 장기적인 목표를 고려하여 혁신을 이루어 내는 것입니다. 확장과 성장은 새로운 시장에 진출하며 지속적인 발자취를 남길 수 있는 기회를 가진 Transportation Technology 의 중요한 업무 목표입니다.

- Fulfillment Technologies:

Fulfilment Technologies팀은 물류센터의 전반적인 프로세스를 통합 관리하며, 입고, 진열, 재고, 집품, 출고 등 물류센터 업무 효율을 높이기 위한 프로세스를 구축합니다. 또한 최신 물류 프로세스를 도입하고 업무 자동화를 구축하여 고객에게 빠르고 정확한 서비스를 제공하여 사용자 관점의 특화된 서비스를 제공하고, 새로운 프로세스를 구축하기 위해 다양한 신기술을 적용하는 것을 목표로 합니다.

업무 내용

• 소프트웨어 개발 라이프사이클 전반에 걸쳐 Global Ops Tech 조직의 테크리드로 역할
• 쿠팡 내 신규 플랫폼, 서비스, 솔루션 진행 시 아키텍처 리뷰의 핵심 참가자로 기여
• 전사 프로젝트를 추진하는 테크 리드
• Global Ops Tech 조직 및 쿠팡 내에서 발생하는 기술적 문제에 대한 믿음직한 해결사
• 프로젝트 오너, 스테이크 홀더, 디자이너들과 협력하여 어플리케이션 개선 또는 신규 구현
• 업계에서 필수 수준이라 기대되는 품질/시간을 충족시키는데 필요한 지속적인 프랙티스 개선을 성실히 추구
• 팀 내 애자일 조직 전반에 걸친 베스트 프랙티스 공유와 프로세스 개선, 그리고 이를 통한 엔지니어링 생산성 향상, 기술적인 폭과 깊이를 끌어올림으로써 팀의 발전 도모

자격 조건

• 빠르게 변화하는 환경 속 엔지니어링 팀 내에서 직접 근무한 경험 10년 이상
• 복잡한 금융 시스템 설계 및 개발 경력 10년 이상
• 확장 가능한 고성능 플랫폼 및 데이터 파이프라인을 설계하고 구축한 경험 5년 이상
• 방대한 양의 데이터 스트리밍 및 실시간에 가까운 데이터 처리에 필요한 빅데이터 스택(Cassandra, Kafka, Spark, Flink, Hive, S3, Redshift 등의 NoSQL 데이터베이스) 관련 탄탄한 지식 및 경험
• Java 및 Spring Framework를 활용한 개발 지식 및 AWS 환경에서의 경험 다수
• 미션, 비전, 로드맵 정의를 위해 여러 부서의 팀과 협업한 경험
• 프로덕트 및 프로그램 관리 팀과 협력한 경험

전형 절차 및   안내   사항

• 전형   절차
  • 서류전형 - 전화면접 - 대면면접 – 최종 합격
  • 전형 절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. 
  • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별안내드립니다. 
• 참고   사항
  • 본 공고는 모집 완료 시 조기 마감될 수 있습니다. 
  • 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
  • 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
• 개인정보 처리방침  
  • 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다.  https://www.coupang.jobs/kr/privacy-policy/   
• 서류   반환 정책  
  • 본 고지는 『채용절차의 공정화에 관한 법률』 제11조 제6항에 따른 것입니다. 
  • 당사 채용에 응시한 구직자 중 최종합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.  
  • 위 2항 본문에 따라 채용서류 반환 청구를 하는 구직자는 채용서류 반환청구서[채용절차의 공정화에 관한 법률 시행규칙 별지 제3호 서식]를 작성하여 당사 이메일( recruitingops@coupang.com )로 제출하면, 제출이 확인된 날로부터 14일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.  
  • 당사는 위 2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다. 

About Coupang

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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 at 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.

Job description:

We are seeking an exceptionally pragmatic and results-driven Lead Data Analyst to be the strategic core of our Supply Chain team. Your mission is to solve our toughest inventory challenges—from preventing stockouts to clearing excess goods. This is not a back-office reporting role. You will be a hands-on catalyst who can "figure things out," develop clever solutions, and collaborate across the company to see your insights implemented in our production systems.

Key responsibilities:

Lead the Full Cycle from Idea to Production-Ready Insight: 

1. Ideate & Develop Smart Heuristics: Proactively identify weaknesses in our supply chain systems and develop clever, practical logic. Your focus will be on forecast correction logic (to override our main models when they fail), Out-of-Stock (OOS) attribution models, and excess inventory flagging rules.
2. Build Rapid Proof-of-Concepts (POCs): Quickly validate your ideas with hands-on POCs. You will build working prototypes, such as a Root Cause Analysis dashboard that automatically attributes OOS events to causes like 'Supplier Delay' or 'Under-forecasting'.
3. Champion for Productionalization: Partner closely with our Demand Planning and Engineering teams to get your validated POCs productionalized. You are the subject-matter expert who ensures your logic is accurately integrated into our core inventory planning systems.

Become the Go-To Expert on Inventory Health: Own the analytics around our key supply chain KPIs, including Out-of-Stock rates and Sell-Through. You will not just report on these numbers; you will provide the "why" behind them.

Act as a Data Translator: Proactively communicate with technical and non-technical partners, ensuring stakeholders understand not just the 'what' but the 'so what' of your findings. You are the bridge that turns complex analysis into clear business directives.

Mentor and Elevate: As a lead, you will guide and mentor other analysts on the team, establishing best practices for high-impact, efficient, and reproducible analysis.

Qualifications: 

• 7+ years of professional experience in data analytics, business intelligence, or a related quantitative field.
• Development background is highly preferred. You think in terms of systems and build solutions for the long term. You likely started your career as a developer or have consistently worked in roles that required strong software engineering principles.
• Domain expertise in Supply Chain, Inventory Management, or Demand Planning is a significant advantage. Experience in e-commerce is also a major plus.

Core Technical Proficiencies:

• Database Expertise (SQL): You possess expert-level SQL skills. You are highly experienced in writing clean, efficient queries to manipulate massive datasets across our primary data platforms, including our data warehouse (Redshift) and data lake (Hive).
• Data Scripting & Automation: You have high proficiency in a scripting language for complex analysis and automation. You are an expert in either Python (with its data ecosystem like pandas, NumPy) or R.
• Dashboarding & Visualization: You have deep, hands-on experience creating insightful and actionable dashboards. You are an expert in at least one of our primary BI tools — Tableau, Power BI, or Apache Superset — and are comfortable navigating the others.
• Analysis as Code (GitHub): You treat analysis as code. Proficiency with Git and GitHub is essential for versioning your queries and scripts and collaborating with the team.
• Generative AI as a Force Multiplier: You are a pragmatic user of Generative AI (e.g., Windsurf, Gemini) to accelerate your workflow—from writing code and debugging issues to managing projects and summarizing findings.

Key Competencies:

• Pragmatic Problem-Solver: You have a knack for creating simple, effective solutions to complex problems and understand when a smart heuristic is better than a perfect but slow model.
• Master Communicator: You can simplify complexity, persuade stakeholders with data-driven narratives, and create clear, concise documentation for your work.
• Sustainable Code Practices: You write clean, modular, and reusable code in both SQL and your chosen scripting language. Your work is easy for others to understand, trust, and build upon.

Recruitment Process

• Application Review - Phone Interview - 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.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

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 ( 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 of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다.

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다.

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.

직무 소개 

SCM Autonomation 조직은 쿠팡의 고객을 위해 수요 예측, 발주 알고리즘, 재고 시뮬레이션 및 협력 업체 관계 관리 시스템 개발을 담당하고 있습니다. 우리는 고객들의 수요를 예측하고 고객이 구매를 희망하는 상품의 재고를 미리 확보하여 로켓배송과 로켓프레시 비즈니스의 성장을 지원하고 있습니다.  

업무 내용

• 아이디어부터 프로덕션 수준의 인사이트까지 전체 사이클 리드: 이 역할의 핵심입니다.
  • 스마트 휴리스틱 개발: 공급망 시스템의 약점을 선제적으로 파악하고, 실용적이고 창의적인 로직을 개발합니다. 주요 초점은 예측 보정 로직(모델 실패 시 대체), 품절(OOS) 원인 분석 모델, 초과 재고 플래그 규칙입니다.
  • 빠른 POC(Proof-of-Concept) 구축: 아이디어를 신속하게 검증하기 위해 POC를 직접 개발합니다. 예: ‘공급 지연’, ‘예측 부족’ 등 품절 원인을 자동으로 분석하는 Root Cause Analysis 대시보드.
  • 프로덕션화 추진: 수요 계획 및 엔지니어링 팀과 협력하여 검증된 POC를 실제 시스템에 반영합니다. 로직이 핵심 재고 계획 시스템에 정확히 통합되도록 전문가 역할을 수행합니다.
• 재고 건강 전문가 역할: 품절률, 판매율(Sell-Through) 등 핵심 공급망 KPI 분석을 담당합니다. 단순 보고가 아니라, 그 원인을 명확히 설명합니다.
• 데이터 번역가 역할: 기술 및 비기술 파트너와 적극적으로 소통하여, 분석 결과의 ‘무엇’뿐 아니라 ‘왜 중요한지’를 명확히 전달합니다.
• 멘토링 및 팀 역량 강화: 리드로서 다른 분석가를 지도하고, 고효율·재현 가능한 분석을 위한 베스트 프랙티스를 확립합니다.

자격 요건 

• 데이터 분석, BI, 또는 관련 정량 분야에서 7년 이상 경력
• 개발 백그라운드 선호: 시스템 관점에서 사고하고 장기적 솔루션을 구축할 수 있는 능력. 개발자로 커리어를 시작했거나 소프트웨어 엔지니어링 원칙을 요구하는 역할 경험 보유.
• SCM, 재고 관리, 수요 계획 관련 도메인 전문성 우대. 이커머스 경험도 큰 장점.

핵심 기술 역량 

• SQL 전문가: 대규모 데이터셋을 효율적으로 처리하는 깔끔한 쿼리 작성 능력. Redshift, Hive 등 주요 데이터 플랫폼 경험 필수.
• 데이터 스크립팅 & 자동화: Python(pandas, NumPy) 또는 R에 대한 높은 숙련도.
• 대시보드 & 시각화: Tableau, Power BI, Apache Superset 중 하나 이상 전문가 수준.
• Analysis as Code: Git/GitHub 활용 능력 필수.
• Generative AI 활용: Windsurf, Gemini 등 생성형 AI를 활용해 코드 작성, 디버깅, 프로젝트 관리, 분석 요약 등 업무 효율 극대화.

Coupang is reimagining the commerce 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. Powered by a dynamice end-to-end retail and logistics network and a culture of customer centricity, Coupang has broken tradeoffs around speed, selection and price. Coupang wants to make you feel every day that “How did I ever live without Coupang?”.

Inbound SCMS (Supply Chain Management System) team is solving the below difficult problems with the most advanced technology.

1. Which product to buy from which vendor

2. How much of each product should we buy.

3. Where should we put our inventory, so we ship the product to customers with the fastest delivery.

4. How much inventory should we have in each of our FCs at the lowest cost.

We’re seeking a Data Scientist with expertise in a breadth of ML techniques. Your responsibilities will include developing, prototyping and productionizing innovative models using a range of techniques (Supervised/Unsupervised/Reinforcement). We are also looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities - Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry-standard AI/ML models and working with Large Language Models - Proficiency in both Supervised(Linear/Logistic Regression) and UnSupervised algorithms(k means clustering) - Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management. - Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area - Innovate by adapting new modeling techniques and procedures - Passionate about working with huge data sets (training/fine tuning) and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in the creation and management of datasets - Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user-facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers

[BASIC QUALIFICATIONS]

- 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling

- Good communication experience 

- Bachelor's degree in computer science, engineering, mathematics or equivalent

- Experience with statistical models e.g. multinomial logistic regression

- Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences)

[PREFERRED QUALIFICATIONS]

- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

- Working knowledge of generative AI and hands on experience in deploying and hosting Large Foundational Models

[Recruitment Process and Others]

Recruitment Process

• Application Review -  1st Interview - 2nd 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.
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

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 (Coupang Recruiting Team, Tower 730, 570 Songpa-daero, Songpa-gu, Seoul). 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.
• Hiring may be restricted in case the legal qualifications required for hiring and work performance are not met.