Role Overview 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, Analytics, and Data Engineering 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.
What You Will Do- Analyze how customers interact with Coupang's search results to determine how to
- improve customer experience and business performance
- Lead experiment ideation, design, measurement, and interpretation
- Build datasets to increase the speed and accuracy with which the team analyzes data
- Understand the nuances of ML ranking models, LLMs, and more to determine how our
- core search product can be optimized
- Lead a small team of Data Engineers to 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
Minimum Qualifications- 8 years of Data Engineering experience in customer-facing technology companies
- 3+ years experience as a people manager
- Proficiency in Data modeling, ETL, Python and SQL
- Experience with distributed processing technologies and frameworks and distributed storage systems (e.g. Spark, HDFS, S3)
- Experience with ETL schedulers (e.g. Airflow, Dagster, DBT)
Preferred Qualifications- Experience with massive datasets, with an understanding of how to optimize data
- extraction
- Expertise in experimentation and statistics
- Ability to communicate data concepts simply and succinctly to cross-functional team
- members, up to the C-suite
- Understanding of ML concepts, and how different model configurations affect model
- outcomes
- Experience in e-commerce and/or search
Pay & BenefitsOur compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.
The base pay for this position ranges from $174,000/year in our lowest geographic market to $290,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience.
General Description of All Benefits- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HAS)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of Paid Time Off (PTO) a year based on the tenure
- 12 Paid Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV- [Free] Electric Car Charging Station
General Description of Other Compensation"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary or wage scale.
Privacy NoticeYour personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Job Requisition ID: R0076108 
