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Coupang Fulfillment Services · 1 month ago

Applied Scientist - Global Operations Tech

Seattle, USA

Full-time

Onsite

Senior Level, Lead/Staff

$159K/yr - $324K/yr

10+ years exp

Coupang is one of the fastest-growing e-commerce companies that is disrupting the industry with a startup culture and the resources of a large global public company. The role of Senior Staff Data Scientist in the Global Operations Tech organization involves leveraging advanced algorithms to enhance customer experience through timely deliveries, while also driving technology direction across multiple teams.

DeliveryLogisticsWarehousing

Responsibilities

Leverage advanced algorithms to improve Coupang’s customer experience by ensuring ultra-fast deliveries are on time even during the busiest times of the year

Drive the direction of technology across multiple teams, leveraging deep industry knowledge and using statistical and machine learning techniques to bring value to customers

Perform quantitative, economic, and numerical analysis of the performance of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and Xpress/Gurobi/CPLEX/etc to determine optimal and heuristic solution strategies for optimization problems

Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, dynamic programming, network flows and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software

Present business cases, and document models, analyses, and results to influence important decisions

Work effectively in a cross-functional team

Qualification

Statistical analysisMachine learningOperations researchOptimization techniquesPythonRSupply chain experienceModel developmentCommunicationCross-functional teamwork

Required

Masters degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics or equivalent experience

10+ years of experience in solving complex problems in the area of operations research and developing strategies for large-scale supply chain, transportation and logistic networks

Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience. The ideal candidate should be able to present business cases, and document models, analyses, and results to influence important decisions

Proven ability to work effectively in a cross-functional team

Preferred

PhD degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc

10+ years of hands-on experience applying theoretical models in an applied environment

Experience in supply chains, transportation and logistics, and network optimization models

Proficiency in model development, model validation and model implementation for large-scale applications