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Full-time
bachelor degree, postgraduate degree
Posted 3h ago
~40 hrs/week
Responsibilities
Collaborate with cross-functional teams to develop data-driven solutions for supply chain management using AI, ML, and Operations Research. Conduct research and analysis to build and optimize automated decision-making models that improve business processes.
Requirements
Requires a Bachelor's or Master's degree in a quantitative field and at least 5 years of relevant industry or academic experience. Candidates must possess strong skills in Python, SQL, statistical modeling, and the ability to solve complex, ambiguous business problems.
Full job description
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
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. https://privacy.coupang.com/en/land/jobs/
Related keywords
Data ScientistSupply Chain ManagementArtificial IntelligenceMachine LearningOperations ResearchPythonSQLStatisticsDeep LearningTableauPower BITensorFlowPyTorchSparkHiveHBase
Coupang is a U.S.-based Fortune 150 tech company listed on the New York Stock Exchange (NYSE: CPNG).
Industry
Software Development
Company size
10,001+ employees
Founded
2010
Headquarters
Seattle, Washington
LinkedIn followers
262,765
Total funding
$3.4B
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.
Offices: 720 Olive Way, Seattle, Washington 98101, US · 570, Tower 730, Songpa-daero, Songpa-gu, Seoul, Seoul 05510, KR · 605 Fairchild Dr, Mountain View, CA 94043, US · 2889 Jin Ke Lu, Pudong Xinqu, Shanghai, Shanghai 201203, CN · Wangjing West Garden, Chaoyang District, 10F Botai Building, Beijing, Beijing 100022, CN
How many Logistics jobs are open in Taipei, Taiwan right now?
There are currently 294 open logistics positions in Taipei, Taiwan listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Logistics roles in Taipei, Taiwan?
Companies currently hiring include Coupang, Hewlett Packard Enterprise, Avnet, Celestica, Arista Networks, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Logistics jobs in Taipei, Taiwan?
Yes — 36 of the 294 open logistics positions offer remote or hybrid work (7 remote, 29 hybrid).
How do I apply for Logistics jobs in Taipei, Taiwan?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.