Amazon Applied Scientist II PAM 

United States, New York, New York 

780768086

Why Join Us:
• True builder's paradise: Design and implement novel optimization solutions from scratch, with complete ownership of the scientific approach
• Solve complex mathematical puzzles at massive scale: Tackle challenging multi-objective optimization problems using operations research in smart way
• Direct impact on global operations: Your models will directly influence critical decisions affecting millions of customer deliveries daily
• Pioneer the future of Same Day Delivery: Build pioneering optimization models for our rapidly expanding ultra-fast delivery network
• Cross-functional innovation: Work closely with Software Development Engineers to productionize optimization models on scalable AWS infrastructure, while sharing best practices with other science teams across Amazon operations.
Key job responsibilities
• Design, develop and implement novel optimization models that revolutionize Same Day Delivery network inventory planning
• Lead the mathematical formulation of complex supply chain problems, selecting and adapting appropriate optimization techniques for large-scale deployment
• Drive the productionalization of optimization models by collaborating with Software Engineering teams to architect scalable solutions on AWS infrastructure
• Develop rigorous scientific approaches to measure model performance, establish key metrics, and quantify business impact
• Partner with cross-functional teams to translate business requirements into mathematical frameworks and ensure solutions meet operational constraintsA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 3+ years of building models for business application experience
- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- Experience programming or scripting language like Python, Java, C or C++
- Experience in designing experiments and statistical analysis of results
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience implementing algorithms using toolkits and self-developed code
- Experience in professional software development

- Experience in developing Optimization models for Supply Chain