Senior Staff Data Scientist (Search & Discovery)

Mountain View, USA

Applications have closed

Coupang

Join us to innovate. Rocket your career. Collaborate with teams across the globe. Find your role and learn more about our culture.

View company page

Description

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 entrepreneurial 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.  

Job Overview 

Our Search Analytics team is embedded within the Search product team and has a mission to power the growth of Coupang’s Search and Discovery experiences through data-driven insights. We are a team of creative problem solvers with a passion to deliver innovative business and product solutions. The team leverages big data to empower product decisions and deliver insights, metrics and dashboards in order to drive search engagement, customer retention and build long term customer trust. 

Search and Discovery drives the lion share of revenues within one of the largest and fastest growing e-commerce platforms on the planet, Coupang’s Search Analytics team offers countless ways for an ambitious data scientist to make an impact. 

What You Will do 

  • Partner with cross-functional product leadership to identify product opportunities, drive prioritization, support execution and measurement for the Search and Discovery product team 

  • Analyze large-scale structured and unstructured data; develop deep analyses and insights to drive the vision for the product team 

  • 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 hypotheses to improve the search and recommendations models 

  • Craft compelling stories; make logical recommendations; drive informed actions 

  • Communicate findings to senior leaders and evangelize data-driven business decisions 

Basic Qualifications 

  • Bachelor’s degree in a quantitative field - Computer Science, Mathematics, Engineering or related fields 

  • 10+ years of work experience involving quantitative data analysis 

  • Database experience with advanced SQL or SQL-like skills (Hadoop-Hive); experience researching and manipulating complex and large data sets 

  • Working knowledge of data and statistical analysis (e.g. Cohort analysis, Campaign Analysis, A/B tests) 

  • Experience with data visualization tools like Tableau 

  • 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 

  • Outstanding team player with a customer-back mindset 

Preferred Qualifications 

  • Masters or PhD degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. 

  • Experience with manipulating massive-scale clickstream data 

  • Experience with causal inference 

  • Experience with Hadoop or other MapReduce paradigms, and associated languages such as Pig, Hive, etc. 

  • Excellent communications skills, with the ability to synthesize, simplify and explain complex problems to different types of audience, including executives  

Pay & Benefits     

Our compensation reflects the cost of labor 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 $138,000/year in our lowest geographic market to $297,000/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 (HSA)   
  • Long-term/Short-term Disability   
  • Employee Assistance Program (EAP) program   
  • 401K Plan with Company Match   
  • 18-21 days of the Paid Time Off (PTO) a year based on the tenure   
  • 12 Public 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 range or wage scale.   

   

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.  As a condition of employment, Coupang requires employees to be fully vaccinated against Covid-19, subject to legally required accommodations.  

 If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at  usrecruiting@coupang.com   

 

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

 

Tags: A/B testing Big Data Causal inference Computer Science Data analysis Data visualization E-commerce Economics Engineering Hadoop Mathematics PhD Research SQL Statistics Tableau Unstructured data

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

Region: North America
Country: United States
Job stats:  6  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.