Principal Data Scientist

Seattle, 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: 

As our Principal Data Scientist for Coupang Media Group, Ads Growth team, you will be responsible for performing data analysis, designing/implementing machine learning models, and optimizing algorithms to boost our ads business and improve our advertisers’ experience.

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services. We launched Product Ads performance advertising marketplace late in 2018. We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. The Ads Growth team is responsible for finding new opportunities and helping optimize the behaviors of the existing advertisers. 

This is an opportunity to be part of an organization with strong revenue potential inside a successful company. The team consists of machine learning engineers, data scientists, economists and software developing engineers with highly collaborative culture. 

What You Will do: 

  • Work with product team, sales team, and other stakeholders to formulate the business problems into data analysis and machine learning projects.
  • Design features and build large-scale machine learning models and systems, or perform statistical analyses to improve advertiser benefit and our ads revenue.
  • Find new opportunities to expand our ads business to new customers/products with data and machine learning model supports.
  • Effectively collaborate with other roles, including data scientists, machine learning engineers, economists and software developing engineers, to lead projects within or across teams
  • Solve ambiguity and act as consultant in data related problems across teams
  • Mentor the junior team members 

Basic Qualifications: 

  • Master or Ph.D. degree in quantitative fields such as computer science, statistics, engineering, mathematics or equivalent.
  • 3+ years (for Ph.D.) or 5+ years (for other degrees) of industry experience in machine learning and statistical analysis
  • Deep knowledge in machine learning and statistical modeling 
  • Coding ability to deliver prototypes of models
  • Good communicator, both to technical and business audiences 
  • Strong problem-solving skills 
  • Proven track record of taking ownership and successfully delivering results 
  • Ability to deal with ambiguity in business and technology 
  • Ability to work in multicultural, cross functional team 

Preferred Qualifications: 

  • Ph.D. in quantitative fields 
  • 3+ year experience with advertising or e-commerce industry 

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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data analysis E-commerce Engineering Machine Learning Mathematics ML models Statistical modeling Statistics

Perks/benefits: Career development Medical leave Startup environment

Region: North America
Country: United States
Job stats:  14  0  0
Category: Data Science Jobs

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.