Staff Data Scientist (SCM)

The role

This person will develop production solutions and automate supply chain management. They will collaborate with product, engineering, and business teams to solve complex problems using statistics, machine learning, and operations research.

What you will do

• Collaborate with cross-functional teams to identify opportunities for enhancing technology products.
• Translate ambiguous business requirements into practical solutions.
• Conduct research and analysis to inform model development.
• Establish metrics and success criteria for evaluating solution effectiveness.
• Deliver data-driven solutions to support automated decision-making at scale.
• Analyze and solve complex data problems using innovative methods like deep learning.
• Communicate findings to technical and non-technical stakeholders through reports and presentations.
• Provide analysis for launched solutions to quantify outcomes and identify improvements.

Required qualifications

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

Nice to have

• Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction.
• Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch.
• 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.
• 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).
• A deep understanding of the e-commerce business domain.

About the company

Coupang is reimagining the shopping experience with the goal of wowing each customer. Their services in Taiwan include Rocket Delivery and Rocket Oversea.