Sr. Staff, Data Scientist (Ads Analytics)

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:

• 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 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 

[Recruitment Process and Others]

• Recruitment Process:
  • Application Review - Phone Interview - Onsite Interview - Offer
  • The recruitment process may be different depending on the job and may be changed due to scheduling and circumstances.

• Others:
  • This job post may be closed early if all openings are filled.
  • If there is any false information in the application, the offer may be cancelled.
  • Veteran status or disability will not result in any disadvantages in the recruitment process.
  • Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

[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/kr/privacy-policy/  

[Document Return Policy]

• This notification is given pursuant to Article 11 (6) of the Fair Hiring Procedure Act.
• A job applicant, who has applied but not been finally selected for a position at Coupang (the “Company”), may request the Company to return his/her hiring documents submitted pursuant to the Fair Hiring Procedure Act. However, this will not apply where the hiring documents were submitted via the website of the Company or e-mail, or where the job applicant submitted those documents voluntarily without a request from the Company. In addition, if the hiring documents were destroyed due to a natural disaster or any other reasons not attributable to the Company, such documents will be deemed to have been returned to the job applicant.
• A job applicant who wishes to request the return of his/her hiring documents pursuant to the main sentence of paragraph 2 above should fill out a “Request for Return of Hiring Documents” [Annex Form No. 3 in the Enforcement Rule of the Fair Hiring Procedure Act] and submit the request to the Company by email ( recruitingops@coupang.com ) In such case, within fourteen (14) days from the date of identifying the receipt of the request, the Company will send the hiring documents to the job applicant’s designated address via registered mail. Please be informed that the job applicant is required to pay the postage on the registered mail.
• In preparation for a job applicant’s request for the return of hiring documents pursuant to the main sentence of paragraph 2 above, the Company shall retain the original hiring documents submitted by the job applicant for 180 days from the completion of the recruiting process. If no request is made until the end of this period, all of his/her hiring documents will be destroyed immediately in accordance with the Personal Information Protection Act.

[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.