The USDS Global E-Commerce Global Supply Chain and Logistics team aims to enhance the shopping experience while reducing logistics operational costs.
Requirements
- Master’s degree in Computer Science, Operations Research, Transportation, or a related field.
- Proven software engineering experience gained through internships, work experience, coding competitions, or publications.
- 0–5 years of professional experience in e-commerce, supply chain, logistics, or transportation.
- PhD in Computer Science, Operations Research, Transportation, or a related field.
- Publications in top-tier conferences (e.g., KDD, NeurIPS, ICML, ICLR) or leading journals (e.g., UTD24 or ABS4+).
- Experience of implementing large-scale deep learning and optimization models.
Responsibilities
- Develop deep learning and operations research models, along with intelligent systems, to optimize the supply chain and logistics of the global e-commerce business.
- Apply advanced time series forecasting techniques to predict sales across multiple granularities and horizons, including warehouse-level labor forecasting and product-level demand forecasting.
- Design and implement advanced operations research models—particularly mixed-integer programming—to address real-world logistics challenges, including inventory planning and allocation, middle-mile routing and truck scheduling, optimal fulfillment strategies, and sales and operations planning.
Other
- Master’s degree in Computer Science, Operations Research, Transportation, or a related field.
- 0–5 years of professional experience in e-commerce, supply chain, logistics, or transportation.
- Hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department.
- Day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others.
- 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
