쿠팡은  세계에서  가장  빠르고  크게  성장하는  Ecommerce  기업 입니다.  우리는 고객, 직원, 파트너 그리고 우리를 둘러싼 모든 사람들의 일상을 어떻게 혁신 할 수 있을 지 매 순간 고민합니다. 우리는 아직 아무도 풀지 못한 문제를 해결함으로써 사람들이 이렇게 묻는 세상을 만들고자 합니다. “쿠팡 없이 어떻게 살았을까?” 쿠팡은 서울뿐만 아니라 베이징, LA, 시애틀, 상하이와 실리콘밸리 등에 오피스를 두고 있는 글로벌 기업입니다. 

 

Team Description (3-5 sentences):

GO Program team provides Global operation business insights, identify business risks and opportunities, making financial forecasting and planning and consistently strive to provide best-in-class support to drive operation efficiency and excellence.

 

Key Responsibilities:

  • Own and drive analytics agenda for FC/Logistics operation. Identify business opportunities and setup data analysis and modeling projects to uncover levers and insights to impact.
  • Apply expertise in data mining, quantitative analysis to execute analytics projects. Understand operation challenges and can build up tools and visibilities to provide business insights and drive operation efficiency.
  • Collaborate with cross functional teams including FC Finance, SDE, HR, SCM, Capacity Planning product, EDW team to conduct data collection, analysis, modeling, experimentation and implementation.
  • Deliver business insights and recommendations to leadership team and get support for implementing optimization FC/Logistics operation.

Basic Qualifications:

  • Bachelor degree of business, economics, math, statistics, engineering, other technical or business fields.
  • 5+ years experience in data mining, data science, business analytics or other quantitative fields.
  • Expert in data query language (SQL, etc.)
  • Development experience in other data processing and modeling language (R, Python, etc.)
  • Experience to initiate and drive analytics projects and deliver actionable insights and recommendations to business.
  • Understanding of statistical analysis and experience in A/B testing.
  • Experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
  • Hands on experience in working with large data sets and distributed computing (Hive/Hadoop).
  • Knowledge about manufacture/e-commerce/logistics industry.

 

Preferred Qualifications:

  • Master degree and above of subjects mentioned before.
  • Deep understanding of statistical analysis and thorough knowledge of setting up and evaluating results of experimentation.
  • Experience in advanced data science, machine learning, predictive analytics projects.
  • Knowledge in other programming language or data science, machine learning environment and tools.
  • Familiar with e-Commerce business and experience in optimizing business operations and driving operation excellence.

 

 

전형 절차 및 기타사항  

  1. 전형절차: 서류전형 - 전화면접 - 대면면접 - 최종합격  (전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.) 
  2. 기타사항:

a. 본 공고는 모집 완료 시 조기마감 될 수 있습니다.  

b. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 

c. 보훈대상자 및 장애인 여부는 채용과정에서 어떠한 불이익도 미치지 않습니다. 

d. 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.  

 

Recruitment Process and Others

1. Recruitment Process: Application Review - Phone Interview - Onsite Interview - Offer  
(The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.)
2. Others:
a. This job post may be closed early if all openings are filled.   
b. If there is any false information in the application, the offer may be cancelled.
c. Veteran status or disability will not result in any disadvantages in the recruitment process.
d. Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

 

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