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.
The Coupang Ads Sales Strategy and Operations Data Science team is responsible for developing innovative, data driven solutions to help Coupang Demand teams deliver strong CX for customers and in return, drive predictable revenue growth. We work closely with ads team, leveraging a range of advertising customer, end user, ecommerce, advertising, product and finance data to identify unique insights and help accelerate our sales teams. We bring data together to generate actionable insights, answer complex business questions, and help us deepen our understanding of Customers and what it takes to drive impact via our sales organisation.

What you will do:
Build high performance ML based models and insight for the Coupang Ads Demand team. You will be a thought partner to our sales, strategy, operations, product and finance stakeholders and identify innovative and scalable methods to unlock revenue from more advertisers.
Strong business acumen with a deep understanding of key business metrics and the ability to leverage data insights to drive growth and achieve tangible business outcomes.
Work with product, finance and engineering partners help identify and answer important “why” questions related to seasonality, high impact patterns that drive customer as well as sales team success. You will lead efforts to structure ambiguous business challenges into actionable plans, ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business and drive data-driven decision-making.
Communicate complex analytical findings and insights to both technical and non-technical stakeholders in a clear and concise manner.
Be a champion for building highly talented and diverse teams with an inclusive culture.

High value actions : Identifying factors across a range of factors including customer profile, usage sophistication, ads performance, CX, ROI, pricing and seasonality to identify high value actions that demand teams can double down on to deliver customer ROI, improve retention and accelerate revenue
Seasonality and forecasting : design and maintain ecommerce, ad revenue and season-specific forecasting models as a critical component of the sales demand process. Leverage these to underpin proactive sales motions by demand teams Assist with analyzing sales patterns to identify trends and aid financial forecasting
Segmentation: Develop new segmentation based on sales interactions with customers (nudges, pitches, meetings, exchange of materials, etc.) as well as customers’ adoption of recommendation, usage of ad products, performance and churn; to ultimately provide greater insight to sales teams and underpin efforts to align the way we are organized to better address customer needs
Insights and Metrics : deliver a set of Key Performance Indicators and insights from models and analyses; share widely with product and engineering teams to incorporate into existing and new product features.
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:
The ideal candidate has 10+ years of experience as a Scientist & Analyst performing ads data science, Experimentation, business analysis, financial analysis, market research , and executive reporting.
Ability to lead a team of Data scientists and/or data 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