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.

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.