Company Introduction
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 are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading 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 at 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.
Role Overview:
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.
Ads 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 E-commerce as well as Eats app and we do this by analyzing KPI’s, analyzing the success of A/B and multivariate testing initiatives.
What you will do:
As a Sr. Staff Data Scientist at 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
Machine learning - Help improve and / or build Ads prediction and recommendation models to drive positive value for business, advertiser and consumers.
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.
Basic Qualifications:
Ability to lead a team of Data scientists or Product Analysts
Deep understanding of ML model performance and improving accuracy to generate positive business outcomes
Strong SQL
Python or R for statistical analysis
Hive, Presto, Airflow
Excellent quantitative analysis skills
Strong communication skills
Highly organized and detail-oriented
Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-paced organization
Preferred Qualifications:
Strong statistics background
Machine Learning experience
Previous experience in AdTech / Advertising (search, display, branding, retargeting, social, streaming video...), Digital Marketing, Ad Agency, or related domains.
Data visualization (e.g., Tableau, Qlik, Looker, Power BI)
PhD or Master's degree in a technical field
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[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.