The FBA team is looking to solve key challenges facing the worldwide FBA business, including designing end-to-end supply and demand management systems and driving cost efficiencies across end-to-end FBA supply chain.
Requirements
- Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field
- 2+ years of experience in solving complex problems in the area of operations research, statistics or machine learning
- Ability to perform quantitative, economic, and numerical analyses of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and XPRESS
- Fluency in using mathematical optimization or machine learning to develop solution methods to be used by in-house decision support tools and software
- Proficiency working with Python, SQL and/or C/C++
- Programming experience using at least one modern programming language such as Python, Java, or C++
- Proficiency in development, validation and implementation optimization or machine learning models for large-scale applications
Responsibilities
- Designing and implementing cutting edge optimization and ML models
- Building automated inventory, logistics, capacity and revenue management systems
- Collaborating with business and software teams to solve key challenges facing the worldwide FBA business
- Developing and improving optimization and ML models to support FBA sellers in growing their businesses
- Creating decision-support tools that minimize the cognitive burden on sellers in navigating supply chain and operational complexities
- Ensuring worldwide Amazon customers have access to the broadest selection of products from FBA sellers
- Driving cost efficiencies across end-to-end FBA supply chain
Other
- PhD, or Master's degree and 4+ years of quantitative field research experience
- Excellent written and verbal communication skills while addressing both technical and business people
- Ability to speak at a level appropriate for the audience, and skills to present business cases, and document models, analyses, and results to influence important decisions
- Proven ability to work effectively in a cross-functional team
- Entrepreneurial spirit, adaptability to diverse roles, and agility in a fast-paced, high-energy, highly collaborative environment
