Coupang's Analytics team aims to power the company's growth through data-driven insights, leveraging big data to inform business decisions and drive customer engagement, retention, and overall business growth.
Requirements
- Programming language required including python, R, spark
- Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large datasets;
- 8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
- Experience with state of the art ML modeling techniques and approaches
- Hands-on experience training and applying models at scale.
- Experience with manipulating massive-scale customer and clickstream data.
- Experience with causal inference and causal ML.
Responsibilities
- Build machine learning models, perform proof-of-concept, experiment, optimize and deploy your models into production.
- Establish scalable, efficient, automated processes for data analysis, machine-learning model development, model validation and serving.
- Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or marketing efforts.
- Analyze large-scale structured and unstructured data; develop deep-dive analyses and machine learning models to drive customer engagement and retention.
- Design and develop core business metrics, create insightful automated dashboards and data visualization to track them and extract useful business insights.
- Design and analyze experiments to test new product ideas or marketing strategies. Convert the results into actionable recommendations.
- Communicate findings to senior leaders and evangelize data-driven business decisions
Other
- Master’s degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields;
- 10+ years of work experience involving quantitative data analysis and machine learning models projects.
- Ability to communicate information effectively to a variety of groups at different levels.
- Willingness to dig-in and understand the data and to leverage creative thinking and problem-solving skills are absolute musts.
- Self-starter who takes the initiative to get things done.
