The USDS Global E-Commerce Global Supply Chain and Logistics team aims to enhance the shopping experience while reducing logistics operational costs.
Requirements
- Proven software engineering experience gained through internships, work experience, coding competitions, or publications.
- 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.
- Leverage strong machine learning and deep learning methods to identify key drivers and capture relationships between historical and future trends.
- 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.
- 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+).
- This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.
