Director, Data Science, Catalog

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’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant 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 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 trade-offs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

About the Team

Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.

About the Role

We are looking for a seasoned Director of Data Science to lead and develop our growing team of data analysts, data engineers and data scientists who collaborate with a diverse set of functions like product management, engineering, applied scientists, ML engineers and product data operations, providing innovative solutions to our complex catalog systems. An ideal candidate will leverage his/her deep technical understanding, leadership skills, and industry knowledge to help us make informed decisions based on data insights. 

Responsibilities will include, but not be limited to, the following: 

• Provide strategic leadership and guidance to a team of data analysts, data engineers and data scientists, fostering a culture of innovation and excellence 

• Develop and implement advanced data analytics models to enhance our catalog system 

• Collaborate with cross-functional teams, including Product, Engineering, and Business, to implement data-driven strategies for improving the catalog system's efficiency and accuracy 

• Oversee the design, development, and maintenance of large-scale data structures that enable strategic analysis and insight 

• Continually evolve the team's analytics capabilities, staying abreast of new technologies and methodologies in data science 

• Act as the main point of contact for data science-related inquiries concerning the catalog system, ensuring alignment with overall company objectives 

• Present complex data insights into a range of stakeholders in a clear, understandable, and actionable manner 

Qualifications: 

• Solid in Statistical Analysis:  

• • Strong expertise in statistical analysis to lead the team to interpret complex data and deriving meaningful insights.  

• • Ability to guide the team in establishing key metrics, ensuring data quality, and building a robust data foundation aligned with business goals. 

• • Strong expertise in sampling methodologies, defect measurements and experiment set up and analyses 

• Strong in Reporting and Data Visualization:  

• • Skilled in defining key metrics, analyzing complex data, and using tools like PowerBI, Tableau and Python to develop data-driven dashboards that highlight trends and inform business decisions.  

• • Capable of collaborating with stakeholders to understand their data needs and delivering insights that support senior leadership in tracking performance metrics. 

• Knowledgeable in Data Extraction, Transformation, and Loading (ETL):  

• • Proficient in ETL processes, including extracting raw data from various sources, transforming it into structured formats, and loading it into data storage systems. 

• • Ensures clean, organized, and accessible data to support analytics and reporting across projects. 

• Solid in Operational Excellence and Automation Scripting:  

• • Focused on process efficiency and automation, with the ability to identify and implement opportunities to streamline workflows.  

• • Skilled in developing automation scripts and integrating AI/ML practices to enhance processes, reduce manual tasks, and improve scalability in data operations.