Director of Data Science

Coupang•Mountain View, CA

1d•$174,000 - $299,000

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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
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