Director, Data Science/Analytics

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 & Analytics to lead and develop our growing team of Data Scientists and Data Analysts who collaborate with a diverse set of product-related function like product management, engineering, 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 scientists and data analysts, 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 to a range of stakeholders in a clear, understandable, and actionable manner

Qualifications

• Bachelor's Degree in Computer Science, Statistics, Mathematics or a related field. A Master's Degree or Ph.D. is preferred
• At least 10 years of experience in data science or a related field, with at least 3 years in a leadership role
• Demonstrated experience in managing large-scale data projects, particularly with catalog systems
• Proficiency in programming languages commonly used in data science, such as SQL, Python or R
• Extensive experience with data science tools and frameworks, such as TensorFlow, PyTorch, or similar
• Solid understanding of machine learning algorithms and statistical modeling
• Excellent problem-solving, leadership, and communication skills