The Search and Discovery team is responsible for creating a world class search and discovery shopping experience for our customers, from “intent” based shopping to delighting the customer with serendipitous product discovery on every visit.

We are obsessed with optimizing the entire search customer journey, from query understanding and search relevance to personalized and category/mission aware search and recommendation experiences. We believe the experience of finding the right fresh groceries should be personal and different from shopping for a new laptop or your next pair of jeans. Search and Recommendations drive over 70% of product discovery for our millions of daily customers, so the scale and impact of our work is massive!

Within S&D, the Data Science and Analytics team analyzes customer data to determine how our Search models should be designed. This includes assessing how customers interact with our search results, analyzing experiments, building predictive models, and much more. We partner with Product and Engineering to turn these insights into changes to our Search models.

Ideate, build, and manage analytics and production data ETL/ELT systems for high-volume data ingestion from diverse sources

Partner with Data Science, Engineering, and Product to enable reliable, accurate logging/implementation and usage of Search data

Ensure data quality, observability, and reliability across the data lifecycle

Optimize systems for performance, cost efficiency, and scalability

Define and manage SLAs for data systems

Ensure security and compliance of data per industry standards

Staff Data Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Coupang

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