Manager, Data Science

Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview: As a Manager, Analytics Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers. This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics Data Science who is comfortable working in a fast-paced environment and delivering results with grit. What You Will Do: Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting. Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product. Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders. Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality. Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting. Spearhead technical excellence in Analytics, Data Science, and BI reporting. Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools. Basic Qualifications Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience. Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists. Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data. Experience with big data tools like Hadoop, Spark, and Presto Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality. Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them. Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models. Ability to write clear and concise technical documentation. Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains. Preferred Qualificati ... (truncated, view full listing at source)