Coupang Ads is looking to maximize revenue from its advertising solutions and help users get value from ads by driving product strategy, generating actionable insights, and deepening understanding of customers through data analysis.
Requirements
- Expertise in experimentation and statistics
- 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
Responsibilities
- develop and test various auction and monetization models.
- Provide simulations of the possible impact of changes to be introduced on revenue
- 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
- 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
- design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations.
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
- 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.
- Excellent quantitative analysis skills
- Strong presentation and communication skills
