Director of Data Science

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 entrepreneurs 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 Coupang is seeking a Director of Data Science to lead high-impact, data-driven initiatives across the business. This leader will be responsible for shaping and executing data science strategies that influence key product, operational, and business decisions. The role requires a blend of strong technical expertise, business acumen, and people leadership to drive measurable impact at scale. This is a highly visible leadership role collaborating cross-functionally with engineering, product, analytics, and business leaders to unlock value from data and accelerate innovation. What You Will Do Leadership & Strategy Define and execute the vision and roadmap for data science initiatives aligned with business priorities Build, mentor, and scale high-performing teams of data scientists and applied researchers Foster a culture of innovation, experimentation, and rigorous scientific thinking Impact & Execution Lead the development and deployment of advanced models (e.g., machine learning, statistical modeling, optimization) to drive business outcomes Translate ambiguous business problems into structured data science solutions Drive end-to-end ownership of projects from ideation through productionization and measurement Cross-Functional Collaboration Partner closely with product, engineering, and business stakeholders to influence strategy and decision-making Act as a trusted advisor to senior leadership by communicating insights and recommendations clearly and effectively Ensure alignment between data science solutions and broader platform and infrastructure investments Technical Excellence Set best practices for experimentation, model development, validation, and monitoring Ensure scalability, reliability, and robustness of deployed solutions Stay current with emerging trends and technologies in data science and AI Basic Qualifications Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or related discipline 8 years of experience in data science, machine learning, or advanced analytics 5 years of experience leading and managing high-performing teams Proven track record of delivering measurable business impact through data-driven solutions Strong foundation in statistical modeling, machine learning, and experimentation Preferred Qualifications Experience working in large-scale, fast-paced technology or e-commerce environments Demonstrated success operating in ambiguous, high-growth settings Strong communication skills with the ability to influence both technical and non-technical audiences Experience partnering with executive stakeholders and driving strategic initiatives Pay & Benefits Our compensation reflects the cost of living across