Director, Applied Data Science Data Science

Taipei, Taiwan

Job Description

Company Introduction:

We exist to WOW our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.

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. At Coupang, every day is filled with the excitement of building, 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 challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.

Role Overview:
As a Director, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Director of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do:

Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth.
Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality
Build and maintain ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
Spearhead technical excellence in Analytics, Data Science, and BI reporting.
Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Essential Qualifications

Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 10+ years of relevant experience
Minimum 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
Strong experience building automated reporting and dashboards. Working knowledge of using orchestration tools to automate ETLs and data pipelines.
Experience with big data tools like Hadoop, Spark, and Presto
Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them
Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models
Ability to write clear and concise technical documentation
Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

8-10+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the ecommerce space
Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta.
Expert in building automated dashboards using Tableau and optimizing data workflows with Airflow and/or DBT
Experience working with ML models that optimize digital marketing and CRM campaigns.
Experience optimizing CRM campaigns that include push, email, SMS.
Proving track record of delivering data products and models that optimize marketing operations
Proficiency in writing clean code within version-controlled environments
Experience with Gen-AI workflows and LLMs a plus

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.