
Delivering convenience to millions in South Korea
Coupang is a leading e-commerce platform in South Korea, founded in 2010 and headquartered in Seoul. The company serves millions of customers with its fast delivery service, Rocket Delivery, which promises same-day or next-day delivery on a wide range of products. Coupang went public in March 2021, ...
Coupang offers competitive salaries, stock options, generous paid time off, and a flexible remote work policy to support work-life balance....
Coupang fosters a customer-centric culture, emphasizing speed and efficiency in its operations. The company values innovation and encourages employees...

Coupang • Seoul, South Korea
Coupang is hiring a Staff Data Scientist to drive innovation within their Supply Chain Management technology team. You'll tackle challenges in inbound SCM using advanced AI/ML and Operations Research. This role requires experience in data science and a strong understanding of supply chain operations.
You have a strong background in data science with a focus on supply chain management — your experience includes leveraging advanced AI and machine learning techniques to solve complex problems in forecasting, inventory management, and purchasing. You are skilled in operations research methodologies and can apply them effectively to real-world scenarios. You thrive in a fast-paced environment and are passionate about using data to drive business decisions and improve operational efficiency.
You possess excellent analytical skills and are proficient in programming languages commonly used in data science, such as Python or R. Your ability to communicate complex data insights to non-technical stakeholders is a key strength, enabling you to influence decision-making processes across teams. You are comfortable working with large datasets and have experience in building predictive models that enhance supply chain operations.
You are a collaborative team player who enjoys working with cross-functional teams, including engineering and operations, to implement data-driven solutions. You have a proactive mindset and are always looking for innovative ways to improve processes and drive results. You understand the importance of customer satisfaction and are committed to delivering high-quality outcomes that align with the company's mission.
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data visualization tools like Tableau or Power BI. A background in e-commerce or logistics would be advantageous, providing you with insights into the unique challenges faced in these industries.
As a Staff Data Scientist at Coupang, you will lead initiatives to enhance our supply chain management systems through data-driven insights. You will analyze complex datasets to identify trends and patterns that inform strategic decisions related to inventory management and fulfillment operations. Your work will directly impact our ability to meet customer demands efficiently and effectively.
You will collaborate closely with engineering teams to develop and deploy machine learning models that optimize supply chain processes. This includes forecasting demand, managing inventory levels, and improving purchasing strategies. You will also be responsible for conducting experiments to validate the effectiveness of new approaches and technologies in our SCM systems.
In addition to technical responsibilities, you will mentor junior data scientists and contribute to building a strong data culture within the organization. You will present your findings and recommendations to senior leadership, helping to shape the strategic direction of our supply chain initiatives.
Coupang offers a dynamic work environment where you can make a significant impact on the future of commerce. You will have the opportunity to work with cutting-edge technologies and be part of a team that values innovation and collaboration. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to wow our customers and redefine the e-commerce landscape.
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