Coupang is looking to solve the problem of maximizing revenue from its advertising solutions and helping users get value from ads on its e-commerce platform.
Requirements
- Expertise in experimentation and statistics
- 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)
Responsibilities
- 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
Other
- 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
- Excellent quantitative analysis skills
- Strong presentation and communication skills
- Highly organized and detail-oriented
