Senior Staff Data Scientist

Mountain View, USA

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Coupang

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We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.  

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 

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!

What You Will Do

  • Own the Data Science function within a core pillar of Coupang’s Search and Discovery org
  • 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

 Basic Qualifications 

  • 7+ years experience as a data scientist in customer-facing technology companies
  • Expertise in experimentation and statistics
  • Strong coding skills, including SQL and R/Python
  • Experience with massive datasets, with an understanding of how to optimize data extraction
  • 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

Preferred Qualifications 

  • Experience in e-commerce and/or search

Pay & Benefits

Our 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 $159,000/year in our lowest geographic market to $324,000/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 Descripiton 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.

Recruitment Process and Others 

Recruitment Process  

  • Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
  • The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider 

  • This job posting may be closed prior to the stated end date for application if all openings are filled.
  • Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
  • Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.

 Privacy Notice​ 

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.   

Job Requisition ID: R0062795

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Tags: CX E-commerce LLMs Machine Learning Privacy Python R SQL Statistics

Perks/benefits: 401(k) matching Career development Equity / stock options Flexible spending account Flex vacation Gear Health care Insurance Medical leave Parental leave Salary bonus Startup environment

Region: North America
Country: United States

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