Senior Staff Data Scientist (Optimization)

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did I 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 commerce industry. We are one of the fastest-growing retail companies that established an unparalleled reputation for being a leading and reliable force in the commerce industry.   

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. At Coupang, every day is filled with the excitement of building, you will see yourself, your colleagues, your team, and the company grow every day.      

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and challenge traditional tradeoffs. Join Coupang now to create an epic impact in this always-on, high-tech, and hyper-connected world.   

Supply Chain Automation Team

We're in search of a Staff Data Scientist to join our supply chain automation team. This role is ideal for someone deeply passionate about applied research and optimization, 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 will you 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.

• Lead the research, development, and deployment of large-scale planning optimization solutions, driving improvements in efficiency and scalability.

• Conduct research and analysis to inform the development of models and algorithms, establishing appropriate metrics and success criteria.

• Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Operations Research, Machine Learning, and Statistics.

• Tackle complex data analysis problems using innovative analytical methods, effectively communicating findings to technical and non-technical stakeholders.

• Provide analysis for launched solutions to quantify outcomes based on real-world results.

Essential Qualifications: 

• PhD or MS (or equivalent industry experience) in quantitative fields such as Operations Research, Computer Science, Mathematics, or related technical disciplines.

• 7+ years of industry experience solving complex problems in operations research and developing solutions for large-scale supply chain, transportation, and fulfillment networks.

• Expertise in modeling, algorithm design, engineering, and implementation, particularly in optimization methods for linear, mixed-integer, and dynamic programs.

• Strong software development skills using languages like Python, Java, C, C++, or C#, with experience working with large datasets and big data analytics tools (e.g., SQL, Python, Perl).

• Familiarity with commercial/open-source solvers and MIP solution strategies to design and deploy practical solutions.

• Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels.

It would be great if you additionally have:

• Experience in designing and implementing large-scale optimization solutions (e.g., fulfillment planning, inventory management, scheduling, routing, network design, etc.).

• Experience designing and deploying large-scale optimization algorithms (e.g., decomposition methods, heuristics/metaheuristics, and hybrid methods).

• Experience designing solutions for ambiguous business and operational problems, particularly the ability to model decision problems at the appropriate level of abstraction.

• Knowledge of the AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).

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. 

Things 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.