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Coupang

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Staff Data Scientist

Summary

Staff Data Scientist to build AI/ML and operations-research models for Coupang’s supply-chain automation, forecasting demand and optimizing fulfillment in Taiwan’s ecommerce operations.

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:

We're in search of a Staff Data Scientist to join our supply chain management technology team. This role is ideal for someone deeply passionate about applied research, AI/ML, and Operations Research, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management.

What You Will Do:

  • Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions.
  • Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness
  • Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions
  • Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations
  • Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development

Basic Qualifications

  • Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia
  • Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI)
  • Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions
  • Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis
  • Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery

Preferred Qualifications:

  • Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions
  • Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets
  • Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment
  • Experience designing and implementing large-scale optimization solutions for complex business problems
  • Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods
  • Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis
  • A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results

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.

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

Privacy Notice

  • Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below.
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What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • LinkedIn Profile optional
  • Coupang Corporation or its affiliates and subsidiaries* (or collectively referred to as “Coupang”) does not collect, process or use any personal information other than the types of information specified in this Consent. Please ensure that your resume does not include any personal information other than the types specified in this Consent. choose one
  • 1. What is your nationality? choose one
  • 1. (Required) By submitting your resume, you consent to the required collection, processing, use, required provision/transfer, and consignment of personal information as set forth in our Privacy Policy (https://privacy.coupang.com/en/land/jobs/). choose one
  • 2. (Optional) Name, contact information, email address, nationality, educational background, work experience, qualifications, national merit status (for special hiring program applicants only), relative’s name/relationship/team and application history are collected and used on an ongoing basis for recruitment purposes and may be provided to any of our affiliates and subsidiaries*, other than the company to which you originally applied, for the purpose of reviewing and conducting recruitment for similar positions. Personal information collected and provided will be retained for the duration of the year-round recruitment retention period defined in the Privacy Policy. You may refuse to provide consent, but such refusal may prevent the year-round hiring from progressing normally or may result in the restriction of opportunities in the hiring process of companies other than the one you applied. choose one
  • 3. (Optional) Recordings of the interview process and transcriptions of interview audio maybe collected and used for the following purposes: i) to record the interview process, ii) to transcribe and document interview audio, iii) to summarize interview results, iv) to verify the interview process and evaluation results, v) to improve the hiring procedures, vi) to check candidate fit for other open positions, vii) to review past interview records. Collected personal information are retained for 4 years from the notification of hiring result, and then deleted. You may refuse to provide this consent, and refusal will not affect the recruitment process. choose one
  • 4. (Optional) Coupang or its affiliate or subsidiary company* will send recruitment notifications through transmission media such as phone, email, and SMS using the contact information and email address based on your consent. choose one
  • 5. (Optional) Coupang or its affiliate or subsidiary company* will conduct reference checks on you within the following scope based on your consent: Additional reference checks may be conducted on applicants who applied for a job at Coupang and passed interviews, and Coupang arranges means to conduct reference checks. Coupang may collect other personal information about you, including integrity information collected from public sources and the performance evaluation information collected from your former employer or colleagues. choose one
  • 1. I understand that working with Relatives in the Coupang group of companies (collectively, the "Coupang Group") -- where they can influence each other’s work -- can potentially create conflicts of interest. Therefore, such a situation requires prior approval from the People Operations. In view of the above, I hereby confirm that I DO NOT have any Relatives working in any company within the Coupang Group or serving on the Board of Directors of any company within the Coupang Group; choose one
  • - Name of Relative(s) / 親屬姓名: optional
  • - Relationship / 關係: optional
  • - Working Org / Team / 任職組織/團隊: optional
  • 1. Are you currently, or have you been a government official, public servant, or employee of a public institution who may be subject to post employment or reemployment restrictions under applicable laws or regulations? choose one
  • 2. Do you acknowledge and agree that where required under applicable laws or regulations: choose one · optional
  • You have the right to inquire/access, request a copy, supplement/correct, delete, suspend the collection, processing, or use and suspend the transfer of your personal information that Coupang holds. Exercising certain rights, such as deletion of personal information, may result in the restriction of the hiring process. If you wish to exercise any of these choices, please contact our privacy representative at [[email protected]]. choose one
  • Document Policy choose one

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