Applied Scientist

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This range is provided by Coupang. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Annual Bonus and RSUs

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest‑growing e‑commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands‑on impact.

At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

The Global Operation Tech (GOT) organization is responsible for the systems that enable Coupang to reliably deliver to customers within hours of orders being placed. GOT is on a mission to innovate logistics by building an efficient delivery network at breakthrough scale and speeds. As a Senior Staff Data Scientist in GOT, you will 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.

We are looking for a Scientist that can drive the direction of technology across multiple teams, leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers. The ideal candidates are pragmatic, resourceful, and embrace challenges that are seemingly impossible. The ideal candidates also have rich industry experience and a track record of delivering highly impactful projects.

• 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.
• 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.
• 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.

• 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.

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation. The base pay for this position ranges from $159,000/year in our lowest geographic market to $324,000/year in our highest geographic market. Pay is based on several factors including market location…