[Ads Sales Strategy & Ops] Staff Data Scientist

Company Introduction

We exist to wow our customers. We know were 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 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 whats 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 organization.

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 adproducts 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 Masters degree in a technical field

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.
• Those eligible for employment protection (recipients of veterans benefits the disabled etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: Experience:

  Staff IC