회사 소개

CLS (Coupang Logistics Services)는 택배사업, 화물운송, 화물주선, 물류창고, 화물분류 등 종합 물류 서비스를 제공하는 쿠팡의 물류전문 계열사입니다. CLS는 국토교통부로 지정 받은 택배운송사업자로서 전국단위의 배송캠프에서 업계 최초로 도입한 분류작업전담인력과 직영 전문 배송직 쿠팡친구, 그리고 전국 단위 택배 영업점을 통해 고객에게 최적의 배송서비스를 제공하면서 쿠팡의 로켓배송을 완결하는 역할을 담당하고 있습니다. 로켓배송을 통해 미래 물류의 혁신을 이끌어 온 종합물류서비스 기업으로서 CLS는 로켓배송의 노하우, 인프라, 네트워크 등을 연계하여 물류 혁신을 통한 더 나은 고객감동을 만들어 나갈 것입니다.

직무 소개

CLS FP&A – Business Analyst 팀은 CLS Business Analysis로서 쿠팡의 Logistics 비즈니스 의사결정을 지원하기 위해 데이터의 분석, 품질, 가용성, 깊이를 책임지는 핵심 프로젝트를 주도합니다.

SQL 및 기타 분석 언어에 대한 전문성과 ETL 개발, 다양한 데이터 분석 기법을 기반으로, 조직 전반의 의사결정에 필요한 신뢰도 높은 데이터와 가시성(visibility)을 제공합니다.

이 과정에서 엔드투엔드(E2E) 물류 운영을 재무 관점에서 구조적으로 분석하고, 운영 데이터와 FP&A를 연결하여 비용 효율성, 서비스 수준, 사업 확장성에 대한 핵심 의사결정을 리딩합니다.

Fulfillment Center의 세부 운영, Linehaul, Last‑mile 전반에 걸친 복잡한 물류 구조를 데이터와 재무 지표로 해석·정량화 함으로써, 경영진과 조직이 속도·비용·품질 간의 Trade-off를 명확히 이해하고 합리적인 선택을 할 수 있도록 지원합니다.

업무 내용

• Project data 구축, KPI 설계 및 추적, 모델링
• 주요지표 트레킹 및 관리를 위해 시각화 자동화 대시보드 개발 및 관리
• 업무 협력 시 데이터 요구사항에 대해 명확히 이해하고, 정량적 분석 및 비즈니스 이슈의 근본원인을 파악하여 데이터 기반 방향성 제시
• 철저하고 정확한 데이터 기반의 인사이트를 제시하여 비즈니스 관련 합리적인 의사 결정 기회 제공

자격 요건

• Business Analyst, Data Analyst, FP&A, Data Scientist 등 데이터 분석 기술을 필요로 하는 업무 약 5년 이상의 경험
• SQL/HQL 전문 지식과 ETL 및 dimensional modeling 경험
• Tableau, Power BI와 같은 데이터 시각화 툴 3년 이상 사용 경험
• 분석적이고 디테일에 강하며, 비즈니스 감각이 있으신 분
• 업무의 우선 순위를 효율적으로 정하고, 빠르고 역동적인 환경에서 효과적인 결과를 달성할 수 있는 역량 (멀티테스킹 역량)

우대 사항

• 정량분야의 학사 (STEM, Finance, Economics, Statistics 등)
• Hive, Presto, Hadoop, Spark 등의 빅데이터 기술 활용도
• 이커머스, 로지스틱스, 스타트업(물류, 핀테크), 파이낸스팀 근무 경력을 보유하신 분
• A/B 테스팅 PM 또는 PO경력
• 비즈니스 영어 소통
• 데이터 파이프라인 구축 경험
• 데이터 모델링 혹은 데이터 디자인 경험
• 공학 및 비지니스 학위 (석/박사 or MBA)
• 기술 분야 석사학위 소지자
• 통계 분야 경험이 많은 분

전형 절차 및 안내 사항

전형 절차

• 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격
• 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

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.
• 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
• 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 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

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다.
2. 당사 채용에 응시한 구직자 중 최종 합격이 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.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangls.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 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.

Role Overview

The Global Operations Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Senior Staff Backend Engineer in GOT, you will leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year. We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

What You Will Do

• Lead and drive architecture design of Fulfillment Technologies for scale, future extensibility, and reliability
• Envision and drive alignment with stakeholders of the appropriate roadmap and future direction of technology for Global Operations Technology org.
• Navigate and alleviate technical obstacles and blockers at the organizational level
• Decompose complex problems into simple, straightforward solutions, providing mechanisms for the teams to prioritize ruthlessly and “move with urgency.”
• Write code when necessary to lead by example and help with high-priority projects
• Proactively identify opportunities in both business and technology
• Review, advise, and carry out the adoption of new technology (both open-source and commercial) that are useful in achieving business objectives
• Recruit and develop world-class engineering talent
• Drive development of automation and robotics initiatives

Basic Qualifications

• 15+ years of experience in developing and operating backend services and web applications
• Solid track record of delivering large and complex systems with significant business impact
• Experience of designing and developing large-scale distributed systems and architectures
• Broad and deep understanding of key technologies in storage, data processing, and serving
• Capable of object-oriented design and development
• Strong familiarity developing with Java and the Spring Framework
• Service development and operational experience in an AWS environment
• Experience driving improvements in code quality

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.
• 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.
• 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

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below.
• https://privacy.coupang.com/en/land/jobs/

Document Return Policy

1. This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
2. 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.
3. 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.
4. 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.
5. The above paragraphs 1 - 4 shall only apply when the labor-related laws of Korea govern the application. They are otherwise not applicable.

Your next role as a Miracle Maker 

Maravai LifeSciences is seeking a #MiracleMaker to join our commercial team as a Field Application Scientist (APAC). As a Field Application Scientist (APAC), you will be a client facing technical subject matter expert (SME) that provides custom solutions based on understanding the client’s needs to help grow our TriLink’s mRNA services business. The candidate will work within a cross functional team that includes regional sales/BD representatives, proposals, product management, marketing, R&D, Manufacturing, and Analytical teams. A successful candidate will thrive in a dynamic work environment applying their technical expertise towards creative customer solutions.  

How you will make an impact: 

• Partner with Business Development and Sales teams to improve customer journey by providing technical support and understanding of customer needs during pre-sale activities including but not limited to TriLink’s custom discovery services in mRNA manufacturing, analytical testing, and relevant products. 
• Support customer journey from early discovery on.  
• Represent the company scientifically at conferences, seminars, and webinars alongside R&D. 
• Address inquiries about company technology and manage technical escalations and support cases.    
• Serve as a liaison between customers and internal teams to produce applicable quotes, RFPs, HLEs, Proposals, and SOWs for client-specific technical needs. 
• Highlight the Voice of Customer (VOC) to internal teams to drive business focus and innovation. 
• Stay informed on technological advances, industry trends, and innovations in RNA health. 
• Perform other functions and duties as required 

 The skills and experience that you will bring: 

• Bachelor’s degree in biological field (i.e. molecular biology, biochemistry, or genomics); with at least 4 years of extensive technical experience in nucleic acids lab techniques from biotechnology or pharmaceutical industry. At least 2 years of experience for PhD.  
• Preferred lab experiences in: R&D, Process Development,  QC directly in mRNA. GMP manufacturing is a plus. 
• Strong client-facing skills, task-oriented, and able to communicate scientifically with technical teams. 
• Proven track record working with Business Development, Marketing, and Sales in Life Sciences. 
• Advanced understanding of molecular biology and mRNA/nucleic acid therapeutic applications, including manufacturing and analytical methods. 
• Understanding of clinical development pathways and current regulatory or CMC requirements. 
• Ability to prioritize multiple projects in a fast-paced, deadline-driven environment. 
• Ability to travel up to 30% including semiregular visits to company Headquarters (San Diego, CA) and customer visits as needed 

#LI-Remote

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.

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.

회사 소개

CLS (Coupang Logistics Services)는 택배사업, 화물운송, 화물주선, 물류창고, 화물분류 등 종합 물류 서비스를 제공하는 쿠팡의 물류전문 계열사입니다.

CLS는 국토교통부로 지정 받은 택배운송사업자로서 전국단위의 배송캠프에서 업계 최초로 도입한 분류작업전담인력과 직영 전문 배송직 쿠팡친구, 그리고 전국 단위 택배 영업점을 통해 고객에게 최적의 배송서비스를 제공하면서 쿠팡의 로켓배송을 완결하는 역할을 담당하고 있습니다.

로켓배송을 통해 미래 물류의 혁신을 이끌어 온 종합물류서비스 기업으로서 CLS는 로켓배송의 노하우, 인프라, 네트워크 등을 연계하여 물류 혁신을 통한 더 나은 고객감동을 만들어 나갈 것입니다.

팀 소개

• 고객 감동 실현을 위해 First & Middlemile 최적의 물류 프로세스를 디자인.
• 쿠팡 물류 전반의 디자인 검토 및 데이터 기반 프로세스 개선 진행.
• 유관 부서와의 지속적인 현황 논의와 대응을 통해 업무 효율 향상.
• 프로젝트 및 테스트 계획 수립, 실행, 분석 및 개선을 통해 더 나은 결과 도출.

업무 내용

• 미들마일 네트워크 및 관련 부서에서 데이터를 통한 커뮤니케이션으로 의사결정들을 지원
• 물류, 공급망, 간선 시스템을 개선하기 위한 수학적 모델 및 최적화 알고리즘 개발 및 구현
• 대규모 운영 데이터를 분석하여 비효율성을 식별하고 데이터 기반 솔루션 제안
• 다양한 시나리오에 대한 전략 성능을 평가하기 위해 시뮬레이션 모델 설계 및 검증
• 비즈니스 문제를 분석 문제로 전환하고 실행 가능한 인사이트를 제공하기 위해 다양한 부서와 협업
• 최적화 및 예측 분석을 통합한 의사결정 지원 도구 및 시스템 구축
• 선형 계획법, 정수 계획법, 동적 계획법, 네트워크 흐름 알고리즘 등 고급 운영 연구 기법 적용
• 복잡한 분석 개념과 결과를 이해하기 쉬운 방식으로 이해관계자에게 전달
• 실제 성능 및 피드백을 기반으로 모델을 지속적으로 모니터링하고 개선

자격요건

• 통계학, 운영 연구, 컴퓨터 과학, 정보학, 공학, 응용 수학, 산업공학 등 정량적 분야의 석사 학위 또는 이에 상응하는 경력
• 운영 연구 분야에서 복잡한 문제를 해결하고 대규모 공급망, 운송 및 물류 네트워크 전략을 개발한 3년 이상의 경력
• Python, CPLEX(선호)/Gurobi/Xpress 등의 도구를 활용하여 불확실성 하에서 대규모 시스템 성능에 대한 정량적, 경제적, 수치적 분석 수행
• 뛰어난 분석적 사고 능력 및 SQL 숙련도
• 선형 계획법, 조합 최적화, 정수 계획법, 동적 계획법, 네트워크 흐름 및 알고리즘 이론을 적용하여 최적 또는 근사 최적 솔루션 설계
• 기술 및 비즈니스 대상 모두에게 적절한 수준으로 커뮤니케이션할 수 있는 영어 회화 능력

우대사항

• 통계학, 운영 연구, 산업공학, 컴퓨터 과학, 정보학, 공학, 응용 수학 등 정량적 분야의 박사 학위
• 실제 환경에서 이론 모델을 적용한 3년 이상의 실무 경험
• 공급망, 운송 및 물류, 네트워크 최적화 모델 관련 경험
• 대규모 응용 프로그램을 위한 모델 개발, 검증 및 구현 능력

전형 절차 및 안내 사항

• 전형 절차
  • 서류전형 - 코딩테스트 - 화상면접 – 최종 합격
  • 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
  • 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

• 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.
  • 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
  • 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
  • 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 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

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다.
2. 당사 채용에 응시한 구직자 중 최종 합격이 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.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangls.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.

쿠팡은 모두에게 공평한 기회를 제공합니다

쿠팡은 어느 누구에게나 열려 있는 회사입니다. 다양한 국가 출신 임직원이 함께 일하는 글로벌팀이 없었더라면 전례없는 성공을 이루기 어려웠을 겁니다.

FEQ227R130

As a Specialist Solutions Architect (SSA), you will guide customers in building big data solutions on Databricks that span a large variety of use cases. These are customer-facing roles, working with and supporting the Solution Architects, requiring hands-on production experience with Apache Spark™ and expertise in other data technologies. SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform. As a deep go-to-expert reporting to the Director of Field Engineering, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in an area of specialty - whether that be performance tuning, machine learning, industry expertise, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Architect production level workloads, including end-to-end pipeline load performance testing and optimisation
• Provide technical expertise in an area such as data management, cloud platforms, data science, machine learning, or architecture
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
• Improve community adoption (through tutorials, training, hackathons, conference presentations)
• Contribute to the Databricks Community

What we look for:

• You will have experience in a customer-facing technical role with expertise in at least one of the following:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyper parameter tuning, model serving, deep learning.
• Data Applications Engineer: Build use cases that use data - such as risk modelling, fraud detection, customer life-time value.
• Experience with design and implementation of big data technologies such as Spark/Delta, Hadoop, NoSQL, MPP, OLTP, and OLAP.
• Maintain and extend production data systems to evolve with complex needs.
• Production programming experience in Python, R, Scala or Java
• Deep Specialty Expertise in at least one of the following areas:
• Experience scaling big data workloads that are performant and cost-effective.
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces.
• Experience designing data solutions on cloud infrastructure and services, such as AWS, Azure, or GCP using best practices in cloud security and networking.
• Experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow.
• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Native level Korean is required and Business level English is a plus

Computational Chemistry Intern (Materials Modeling / Molecular Simulation)

About Us

SES AI is a leader in AI-driven materials discovery, building the Molecular Universe (MU) platform to accelerate the development of next-generation battery chemistries. Our work integrates physics-based simulations, machine learning, and large-scale data infrastructure to enable rapid innovation in material science with a dedication to AI for Science.

To learn more about SES, please visit: www.ses.ai

Position Scope

SES AI is seeking a Computational Chemistry Interns to join the Molecular Universe team and support computational modeling and simulation of advanced electrolyte systems. This is a hands-on research role focused on liquid-phase molecular dynamics (MD) simulations, especially for electrolyte systems relevant to next-generation batteries.

Interns will receive training and mentorship from our computational scientist, and collaborate across global teams.

• Location: South Korea (Remote)
• Duration: 6 months

Responsibilities

• Contribute to the SES Molecular Universe project by supporting computational chemistry modeling and simulation of advanced electrolyte systems
• Independently or collaboratively perform molecular dynamics simulations for liquid-phase systems, especially electrolytes, including system construction, initial structure generation, and simulation parameter setup
• Execute the full MD workflow, including job submission, HPC resource utilization, run monitoring, troubleshooting, and issue resolution
• Analyze simulation results in depth, including but not limited to:
• Structural properties such as radial distribution functions (RDF), coordination numbers, and solvation structures
• Dynamic properties such as diffusion coefficients and ion transport behavior
• Thermodynamic and statistical property extraction
• Build and improve automated data-processing pipelines to enhance simulation efficiency, reproducibility, and scalability
• Convert simulation outputs into clear reports, visualizations, and presentations that support scientific and engineering decision-making
• Collaborate with internal teams to improve workflow robustness and reproducibility across simulation pipelines
• Support the scaling and engineering of molecular simulation workflows within the MU platform

Preferred / Advanced Responsibilities

• Contribute to force field development, optimization, and validation for electrolyte or ion-containing systems
• Explore higher-accuracy or higher-efficiency simulation methodologies
• Participate in the engineering and platformization of simulation workflows, including workflow automation, orchestration, and task scheduling

Qualifications

• PhD (or PhD candidate) in Computational Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, or a related field
• Hands-on experience with molecular dynamics simulations, particularly for liquid-phase systems
• Familiarity with common simulation tools such as GROMACS, LAMMPS, OPENMM, or similar packages
• Experience with electrolyte systems, ionic systems, battery-related simulations, or sodium-ion systems is strongly preferred
• Understanding of molecular force fields, including basic principles of force field development and parameterization; direct experience is preferred
• Programming skills in Python or similar languages for data analysis, workflow automation, and simulation pipeline development
• Strong problem-solving skills and the ability to diagnose simulation instability, convergence issues, and physical inconsistencies
• Excellent communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences
• Ability to work effectively in a collaborative, international research environment

Language Requirement

• Professional English proficiency is required
• For positions based in Korea, Japan, and Mainland China, candidates must speak English fluently and be able to conduct professional work in English, including technical discussions, documentation, and presentations

Why Join SES AI

• Work on real, high-impact problems in next-generation battery materials discovery
• Contribute to production-relevant simulation workflows rather than isolated academic projects
• Gain exposure to the intersection of molecular simulation, automation, AI for Science, and materials innovation
• Collaborate with a global team across simulation, machine learning, and experimental validation