Head of Data Science & Data Engineering - Search

Coupang; Mountain View (WY); On-site; USD 184,000 - 376,000; Full time

Benefits offered by this job

Health benefits (Medical/Dental/Vision

AD&D insurance

FSA/HSA

Disability insurance

401K with match

PTO 18–21 days

Public holidays 12

Parental leave

Pre-tax commuter benefits

EV charging station at MTV

Job summary

Coupang is seeking a Sr. Director of Data Science & Data Engineering for Search to lead a global team responsible for understanding customer interactions with Search and Recommendations.

You will communicate complex ML and statistical insights to the C-suite and shape strategic recommendations across the organization. You will guide experiments, model configurations, and personalization systems to improve customer outcomes, partnering with multiple teams to maximize Search value in a

Qualifications

• 12+ years of experience in data science/analytics.
• 5+ years of experience in people management.
• Deep expertise in experimentation and statistics.
• Ability to communicate data concepts simply and succinctly to cross-functional teams, up to the C-suite.
• Understanding of ML concepts and how different model configurations affect outcomes.

Responsibilities

• Lead a global 20-person organization of Data Scientists and Data Engineers, including directors.
• Provide guidance on optimizing LLMs, Ranking models, and personalization systems to improve customer outcomes.
• Lead the experimentation function with rigorous metrics synthesis to determine impact of launches.
• Partner with leaders across the organization to maximize value of Search across the business.

Skills

Data science

People management

Experimentation

Clear communication

ML concepts

Job description

Coupang is seeking a Sr. Director of Data Science & Data Engineering for Search to lead a global team responsible for understanding customer interactions with Search and Recommendations.

You will communicate complex ML and statistical insights to the C-suite and shape strategic recommendations across the organization. You will guide experiments, model configurations, and personalization systems to improve customer outcomes, partnering with multiple teams to maximize Search value in a