Senior Staff, Data Scientist (Incrementality and Attribution)

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we 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 at since our inception. We are all entrepreneurial 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 Incrementality and Attribution Team – Data Analytics and Science team is responsible for designing marketing experiments to measure incrementality, creating marketing science models to evaluate marketing efficiency, optimize budget allocation and in-channel investment optimization.

We are looking for a Senior Staff, Data Scientist(Incrementality and Attribution) to serve as the principal technical leader for our incrementality and attribution initiatives. In this individual contributor (IC) role, you will define the high-level research direction and technical strategy to evaluate marketing efficiency and optimize budget allocation. You will be highly hands-on, architecting advanced machine learning models and designing robust incrementality testing frameworks. You will collaborate closely with our existing team of data scientists and analysts to solve complex techni