Job Overview: 

Global Operations (GO) is the key department of Coupang that operates Supply Chain and Logistics to ensure a fast and high-quality delivery service to our customers. As our Principal Data Scientist for Global Operations (GO) Data Science,  you will applies data-driven techniques to transform business processes of fulfillment centers (FCs) and transportations. Our team provides ad-hoc statistical analyses to reveal operational problems and identify root causes in various operation processes. We provide decision support by building machine learning and optimization models/algorithms to solve business problems with complex rules and conflicting objectives, such as labor planning, task scheduling, FC picking/stowing optimization, operational anomaly detection, transportation routing, etc.

Key Responsibilities:

  • Apply machine learning/operations research/analytical techniques to address FC business needs, help cut operation cost, and optimize customer experiences
  • Define problems, develop customized algorithms/models, and perform experimentation to provide actionable insights to stakeholders
  • Mine and analyze FC domain data to identify improvement opportunities and drive improvement of FC operations
  • Work with other functional teams to implement algorithms/models, and monitor outcomes
  • Partner with stakeholders throughout the FC organization to identify opportunities for leveraging FC data to drive business solutions

 

Qualifications:

  • Masters or PhDs in Statistics, Operations Research, CS or a quantitative discipline
  • 3+ years of work experience in application of machine learning/OR techniques to solve practical business problems. 5+ years of professional experience in such areas is preferred.
  • Programming experience using Python/R/SQL to manipulate data, develop algorithms/models, and draw insights from large data sets
  • Strong analytical and problem solving skills
  • Team player with a self-motivated and “CAN-DO” attitude
  • Ability to learn new techniques, and meet deadlines in a fast-moving environment
  • Good communication skills in English, written and verbal; ability to present data and its implications in a clear and concise manner

 

Preferred:

  • Knowledge of ecommerce FC operations
  • Knowledge and experience with distributed data computing tools, such as Hive, Spark
  • Knowledge and experience with Java, C, C++
  • Experience with data visualization tools, such as Tableau, PowerBI, etc 

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