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Staff Data Scientist-SCM Autonomation

上海, 中国 职位 ID: 3474249


我们寻找的人才热衷解决复杂的现实问题、搭建世界一流的解决方案,并使数百万人生活受益。 在Coupang,开发人员互相学习 - 我们分享知识、互相激励,提出创意 - 并迅速采取行动,共同创造深远的影响。 随着公司的成长,你还将有机会应对随之出现的大规模的挑战。 这包括构建内部技术,引入新的移动端架构,以及通过机器学习和深度学习创造新的可能。 我们热忱邀请你,和我们共创一个新世界,让我们的顾客无法想象,“如果离开了Coupang该如何生活?


  • 灵活适应
  • 自主创新
  • 积极主动
  • 团队合作
  • 解决问题
  • 目标导向
  • 思维敏捷


职位 ID 3474249 发布日期 09/16/2021 地点 上海, 中国

Coupang is the largest e-commerce company in Korea, delivering millions of items, including fresh groceries, within hours to millions of people, 365 days a year. Our mission is to create a world in which customers wonder, ‘How did I ever live without Coupang?’ Korea is one of the fastest growing e-commerce markets in the world, and Coupang is a leader in this fast-growing industry. Powered by innovative technology and operations, we have set out to transform the customer experience journey–from revolutionizing last-mile delivery to rethinking how customers search and discover on a truly mobile platform. We have invested heavily in infrastructure and technology, building an integrated system that we control from end to end. This enables us to improve as we grow, build new services, and break the tradeoffs between price, selection, and quality that consumers are too often forced to take for granted. 

We have been named as one of the ‘50 Smartest Companies in the World’ by MIT Technology Review, and as one of Forbes magazine’s ‘30 Global Game Changers.’ In 2020, we placed second on CNBC’s ‘Disruptor 50’ list.  


Who We Are?

The Supply Chain Data Science team is responsible for predicting what customers want to buy and automate the ordering process. We create a daily demand forecast for all Coupang’s Retail SKUs, every day. We work with internal stakeholders to solve challenging Supply Chain problems at scale. Our systems ensure Coupang’s customers are delighted with consistently available products. Automation supports scale and efficiency of our Supply Chain processes.

How We Do It?

We use Machine Learning/Deep Learning processes to generate our daily forecast and buying decisions. We focus on Time Series models for predicting customer demand. We provide the Data Science team with Data Engineering, Software Engineer and Data Analysis resources to ensure the Data Science team can focus on building the best models. Our goal is to apply cutting edge models into our production environment, using a deep understanding of the e-commerce business domain to demonstrate results in production. We join big thinking with a pragmatic approach to measuring results.

Our systems are built on Hadoop and Spark, with forecasting models implemented in Python using SciPy, NumPy, etc. Our Automated Buying systems combine machine learning with human oversight. Data Scientists work with a cross-functional team of Engineers, Analysts and Product Owners to build world-class systems that keep our Supply Chain running smoothly.


  • Design and implement models to predict customer demand, recommend supplier order quantities and make inventory management recommendations
  • Develop model evaluation criteria and accuracy KPIs
  • Collaborate with engineering teams to launch models into production
  • Provide requirements and use cases for Big Data infrastructure
  • Explore new Machine Learning/Deep Learning applications to Time Series prediction
  • Mentor junior data scientists / analysts and provide career development advice


  • 3-5 years relevant experience;
  • Masters in Mathematics, Statistics, Econometrics, CS or Engineering;
  • Ph. D. a plus
  • Expertise in R or Python
  • Experience with Time Series prediction (Regression, ARIMA, GLM, LSTM, etc)
  • Practical Machine Learning experience (Data Preprocessing, Feature Selection / Engineering, Training, Model Evaluation)
  • Experience with Deep Learning (NLP, CV, etc.) practices in business scenarios a plus
  • Working experience with Python ML libraries (SciKit, Pandas) a plus
  • Working experience with Scala or Java a plus
  • Experience with big data ecosystem (Spark, Hive, Pig, Sqoop, Oozie) a plus
  • Supply Chain domain experience a plus





  • 软件工程师(个人贡献者 vs.经理)
  • 软件工程师
  • 技术项目经理
  • 产品经理
  • 技术招聘专员



  • 工作时间灵活

  • 开放环境

  • 团队旅游

  • 合作顺畅

  • 国际交流