About the job
As an Applied Scientist on our team, you will drive multi-billion-dollar investment decisions that shape Amazon's global fulfillment strategy. You will pioneer innovative solutions using operations research, AI, machine learning and statistical techniques, directly influencing Amazon's ability to delight customers while optimizing billions in capital investments. Your insights and recommendations will be presented to the highest levels of senior leadership, helping guide company-wide strategy.
Responsibilities
This involves creating sophisticated forecasting models that power network utilization decisions, transforming complex supply chain challenges into elegant mathematical solutions.
You will design and implement novel algorithms that optimize warehouse usage, inventory inbound timing, and labor planning.
Qualifications
Minimum
3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Preferred
Experience using Unix/Linux
Experience in professional software development