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Staff Data Scientist (Marketing)

Reads like an Analyst role: dashboards and reporting.

Taipei, Taiwan

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated
Apply at Coupang

What you’ll work on

Full posting

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership.

This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential.

  • Build machine learning models for churn, product sales and campaign ad clicks

  • Recommend CRM promotions based on app user behavior data

  • Run A/B tests, hypothesis tests and regression analysis on online ads

  • Build data pipelines to keep data available and high quality

  • Present data findings to marketing leadership

From the employer’s posting
As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.
This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business
Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
Create a data pipeline to ensure data availability and quality.
Interpret and present your data story to marketing leadership.

What you’ll bring

All qualifications

Core experience

  • 5+ years of machine learning experience
  • 3+ years of SQL experience
  • 3+ years of Python experience
  • Proficient in both Mandarin and English, spoken and written
  • Able to validate data and spot data flaws

Preferred experience

  • Experience in retail / E-commerce industries.
  • Experience in growth marketing and CRM function.
  • Master’s degree in business analytics, data analytics, data science or equivalent experience.
  • Experience in data ETL and data engineering.
Qualification wording
5+ years’ working experience in machine learning.
3+ years’ working experience in SQL.
3+ years’ working experience in Python.
Proficiency in both Mandarin and English (both verbal and written).
Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
Experience in retail / E-commerce industries.
Experience in growth marketing and CRM function.
Master’s degree in business analytics, data analytics, data science or equivalent experience.
Experience in data ETL and data engineering.
Education & alternatives
- Experience in growth marketing and CRM function. - Master’s degree in business analytics, data analytics, data science or equivalent experience. - Experience in data ETL and data engineering.

Tools in this posting

  • Python
  • SQL
  • AWS
  • GCP
Source — Tool mentions in context
- 3+ years’ working experience in SQL. - 3+ years’ working experience in Python. - Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
- 5+ years’ working experience in machine learning. - 3+ years’ working experience in SQL. - 3+ years’ working experience in Python.
- Experience in data ETL and data engineering. - Experience in AWS or GCP. - Strong English skills (both verbal and written).

Posting record

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Open 6 monthsWe first saw this posting 198 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Apr 14, 2026 · 198 days ago
Recorded sightings
444
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on www.coupang.jobs. The employer’s form will show what is required.

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Job description

View original posting ↗

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

 

Role Overview:

As a marketing data professional, you will be responsible for analyzing tens of millions of data points and providing actionable insight for marketing managers and leadership. This insight will help us to create WOW experience for our customers. Marketing analytics creates meaningful insights, seeks answers to complex business questions, and enables effective marketing campaigns.

This is a rare opportunity to be part of a diverse, fast-paced, and dynamic team with so much upward growth potential. You will be a member of the Taiwan marketing team with members from all over the world. You will get a broad end-to-end view of the aggressive expansion of an e-commerce business

 

What You Will Do:

  • Collaborate and be a thought partner for marketing managers, CRM managers, marketing engineers, designers, and other stakeholders to make data-driven decisions.
  • Build machine learning models include but are not limited to customer churn, product sales, banner clicks and sales of marketing campaigns.
  • Train and deploy machine learning models on both in-house and cloud-based platforms.
  • Perform insightful analysis on growth marketing (customer & product) metrics to enable effective marketing campaigns.
  • Provide clear and actionable recommendations on CRM promotions by analyzing user behavior data in the APP.
  • Conduct hypothesis testing, A/B testing and regression analysis on online ad performance.
  • Create a data pipeline to ensure data availability and quality.
  • Interpret and present your data story to marketing leadership.
  • Foster an analytic culture as part of a growing data team.

 

Basic Qualifications

  • 5+ years’ working experience in machine learning.
  • 3+ years’ working experience in SQL.
  • 3+ years’ working experience in Python.
  • Attention to the detail with ability to validate data, identify data flaws, and create analytical reports.
  • Strong critical thinking and problem-solving skills.
  • Ability to work independently with a sense of responsibility and exercise judgment in a fast-paced, dynamic environment.
  • Strong communication skills to share analysis results in clear and concise manners.
  • Proficiency in both Mandarin and English (both verbal and written).

 

Preferred Qualifications:

  • Experience in retail / E-commerce industries.
  • Experience in growth marketing and CRM function. 
  • Master’s degree in business analytics, data analytics, data science or equivalent experience.
  • Experience in data ETL and data engineering.
  • Experience in AWS or GCP.
  • Strong English skills (both verbal and written).

 

Recruitment Process

  • Application Review - Job Fit Interview - Focus 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.

  • Coupang does not discriminate against disabled applicants or those with veteran status.
  • We are proud to offer equal opportunities for all applicants.

 

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Location & working pattern

Taipei, Taiwan

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