Skip to content
Sr. Staff Data Scientist – Global Operations Tech
| Company | Coupang |
|---|
| Location | Seattle, WA, USA |
|---|
| Salary | $159000 – $324000 |
|---|
| Type | Full-Time |
|---|
| Degrees | Master’s |
|---|
| Experience Level | Expert or higher |
|---|
Requirements
- 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.
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.
- Leverage deep industry knowledge and use statistical and machine learning techniques to bring value to customers.
Preferred Qualifications
- 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.
