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About the Role

Lead high-impact, data-driven initiatives that power Coupang's customer engagement and marketing ecosystem. Scale and optimize customer interactions by overseeing data science strategy and execution across various domains, including customer lifecycle management and marketing optimization. This leadership role involves cross-functional collaboration to build state-of-the-art personalization, targeting, and optimization models.

Responsibilities

Define and execute the vision and technical roadmap for CRM, lifecycle marketing, and channel optimization data science initiatives.
Build, mentor, and scale high-performing squads of data scientists and applied researchers.
Align data science strategy with broader Growth & Marketing business priorities.
Lead the development and deployment of advanced machine learning models, personalization algorithms, and optimization frameworks.
Drive data science solutions for customer lifecycle stages and strategic category growth.
Translate ambiguous marketing and growth challenges into structured data science problems.
Partner closely with Product, Engineering, and Growth Marketing stakeholders.
Act as a trusted advisor to senior leadership, communicating complex model mechanics and business impacts.
Collaborate with core data infrastructure teams to ensure scalability and reliability of data pipelines.
Set the gold standard for experimentation, measurement, and causal inference.
Ensure the scalability, robustness, and monitoring of production models.
Stay ahead of emerging trends in AI, deep learning, NLP, and recommendation systems.

Requirements

Advanced degree (MS or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related discipline.
8+ years of experience in data science, machine learning, or advanced analytics.
5+ years of experience directly leading and managing high-performing data science teams.
Proven track record of delivering measurable business impact through production-grade machine learning models.
Strong foundation in statistical modeling, machine learning, personalization/recommendation systems, and large-scale A/B testing.
Deep familiarity with customer lifetime value (LTV) modeling, churn prediction, marketing mix modeling (MMM), incrementality testing, or audience segmentation.
Experience working in large-scale, fast-paced technology or e-commerce environments handling massive datasets.
Demonstrated success operating in high-growth settings, turning loosely defined business goals into concrete technical executions.
Ability to influence both technical engineering teams and non-technical business stakeholders with compelling, data-backed narratives.

Skills

Data Science
Machine Learning
Advanced Analytics
CRM
Lifecycle Marketing
Channel Optimization
Personalization
Targeting
Optimization Models
Customer Lifetime Value (LTV) Modeling
Churn Prediction
Marketing Mix Modeling (MMM)
Incrementality Testing
Audience Segmentation
A/B Testing
Statistical Modeling
Recommendation Systems
AI
Deep Learning
NLP

Location

South Korea

Work Type

Full-time

Experience Level

Director
8+ years of experience in data science, machine learning, or advanced analytics
5+ years of experience directly leading and managing high-performing data science teams

Education Level

Advanced degree (MS or PhD) in a quantitative field

About the Company

Coupang is disrupting the multi-billion-dollar commerce industry in South Korea, aiming to make shopping, eating, and living easier. The company offers a startup culture with the resources of a large global public company, fostering entrepreneurial spirit and innovation. Coupang is focused on building the future of commerce through technology and solving problems to push boundaries.

Equal Opportunity

Veteran status or disability will not result in any disadvantages in the recruitment process.