Staff Data Scientist

Role Overview

The 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.

What You Will Do

• 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

• Master’s Degree in Computer Science, Electrical Engineering, Math or a closely related field
• 4 years of Data Scientist experience in customer-facing technology companies
• Expertise in experimentation and statistics

Preferred Qualifications

• Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains
• Strong SQL
• Python or R for statistical analysis
• Hive, Presto, Airflow
• Experience with ML modeling design, deployment, and optimization
• Strong statistics background
• Experience in working on backend and ML systems for large-scale user-facing products
• Data visualization (e.g., Tableau, Qlik, Looker, Power BI)
• Excellent quantitative analysis skills
• Strong presentation and communication skills
• Highly organized and detail-oriented
• Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization