Sr.Director, Data Science & Data Engineering

Sr. Director, Data Science & Data Engineering - Search

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

About the Role

As the head of Data Science and Data Engineering within Search and Discovery, you will lead an organization responsible for understanding how customers are interacting with Search and Recommendations on Coupang and determine how to improve the Search and Discovery experience accordingly. This role works directly with both Search and Coupang leadership and requires the ability to both understand the extremely nuanced complexities of LLMs/Ranking models/statistics and communicate the corresponding strategic recommendations to the C-suite.

What You Will Do

• Lead a global 20-person organization composed of Data Scientists and Data Engineers, including directors
• Provide guidance on how to optimize LLMs, Ranking models, personalization systems to improve customer outcomes
• Lead the experimentation function, providing clarity on when launches help vs harm our customers, based on deep metrics synthesis
• Partner with leads across different organizations to ensure Search is maximizing value for customers in all areas of the business

Required 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 team members, up to the C-suite
• Understanding of ML concepts, and how different model configurations affect model outcomes

Preferred Qualifications

• Experience in e-commerce or marketplace environments
• Experience leading global or multi-region teams
• Experience building 0→1 products or new product surfaces
• Background in fast-scaling consumer technology companies

Pay & Benefits

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $184,000/year in our lowest geographic market to $376,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.