Coupang Logo

Coupang

Staff Data Scientist

Reposted 4 Days Ago
In-Office
Mountain View, CA
138K-297K Annually
Mid level
In-Office
Mountain View, CA
138K-297K Annually
Mid level
As a Staff Data Scientist at Coupang Ads, you'll develop monetization strategies, analyze KPIs, conduct A/B tests, and create forecasting models to enhance advertising solutions.
The summary above was generated by AI

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 Coupang Ads is the advertising platform team within Coupang.  We are a globally distributed team focused on delivering advertising solutions for those that sell products on our platform.  This includes display, search, performance, brand and video ads offerings. 

The Coupang Ads Product Analytics team maximizes revenue from Coupang advertising solutions and helps our user get value from ads. We are responsible for helping drive product strategy across entire ads business. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers. Our focus is on Coupang’s ads business on Ecommerce, and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.

What You Will Do

As a Staff Data Scientist at Coupang Ads, you will be responsible for -     

  • Product and Monetization strategy: develop and test various auction and monetization models. Provide simulations of the possible impact of changes to be introduced on revenue 
  • Metrics: deliver a set of Key Performance Indicators, used for reporting on product adoption, usage, performance, and churn. Provide visibility into the effectiveness of the group’s monetization efforts 
  • Forecasting: design and maintain inventory and revenue forecasting models as a critical component of the revenue optimization process. Assist with analyzing sales patterns to identify trends and aid financial forecasting 
  • A/B Testing: design, conduct, analyze and uncover insights from A/B tests to inform and prioritize product iterations. Do this with statistical rigor and perform cohort studies to answer “why?” on test result drivers
  • Tell a Concise Story: At completion of Tests, build timely, compelling, fact-based test recaps that strongly communicate the business ‘story’ behind the data and test outcomes.

Minimum Qualifications 

  • Master’s Degree in Computer Science, Electrical Engineering, Math or a closely related field 
  • 4 years of Data Scientist experience in customer-facing technology companies 
  • Expertise in experimentation and statistics 

Preferred Qualifications

The ideal candidate has 6+ years of experience as a data scientist performing ads data analysis, ML model building and optimization, financial analysis, market research, and executive reporting. 

  • Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video…), Digital Marketing, Ad Agency, or related domains. 
  • Strong SQL  
  • Python or R for statistical analysis
  • Hive, Presto, Airflow
  • Experience with ML modeling design, deployment, and optimization
  • Strong statistics background 
  • Experience in working on backend and ML systems for large-scale user-facing products
  • Data visualization (e.g., Tableau, Qlik, Looker, Power BI)
  • Excellent quantitative analysis skills
  • Strong presentation and communication skills
  • Highly organized and detail-oriented
  • Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization 

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 $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 (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   

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/  

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 [email protected].    

 Job Requisition ID: R0067395


Top Skills

Airflow
Hive
Looker
Power BI
Presto
Python
Qlik
R
SQL
Tableau

Coupang Mountain View, California, USA Office

605 Fairchild Dr, Mountain View, CA, United States, 94043

Similar Jobs

14 Days Ago
In-Office
8 Locations
240K-359K Annually
Senior level
240K-359K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.
Top Skills: LookerPythonSQL
14 Days Ago
Hybrid
8 Locations
240K-359K Annually
Senior level
240K-359K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.
Top Skills: LookerPythonSQL
9 Hours Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
Senior level
Senior level
Fintech • Mobile • Software • Financial Services
The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.
Top Skills: PythonSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account