We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 commerce industry from the ground up. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading 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.

Coupang Ads is the advertising platform team within Coupang. We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform. This includes display, search, performance, brand and video ads offerings.

Ads Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on E-commerce as well as Eats app and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.

What you will do:

As a Sr. Staff Data Scientist, you will be responsible for -

• Leadership: Be a subject matter expert and help shape the direction of product through data and science.
• Ownership: Own financial goals for the product and partner closely with product and engineering partners to deliver it.
• Mentorship: Be a mentor to junior members in the organization and help increase the technical bar for the team.
• Product and Monetization strategy: develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue
• Metrics: deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts
• Forecasting: design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting
• A/B Testing: design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers
• Tell a Concise Story – At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes.

Basic Qualifications:

The ideal candidate has 10+ years of experience as a Data Scientist performing user deep dives, building measurement methodologies, conducting statistical experiments, building and optimizing recommendation systems, data analysis, market research, and executive reporting.

• Strong SQL
• Python or R for statistical analysis
• Hive, Presto, Airflow
• Excellent quantitative analysis skills
• Strong statistics background
• Experience in optimizing Machine Learning models
• Strong communication skills
• Highly organized and detail-oriented
• Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization
• Bachelors’ degree

Additional Preferred Qualifications:

• Data visualization (e.g., Tableau, Qlik, Looker, Power BI)
• Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains.
• Master's degree in a technical field

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