Supply Chain Data Analyst

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address**.**   

Coupang is reimagining the shopping 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.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Principal, Supply Chain Data Analyst (Instock Analytics)

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. 

What you will do?

• 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