Amazon Applied Scientist II Amazon Fulfillment Technologies AFT 

United States, Washington, Bellevue 

526724614

Key job responsibilities
As an Applied Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:* Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
* Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
* Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
* Create prototypes and simulations for agile experimentation of devised solutions
* Advocate technical solutions to business stakeholders, engineering teams, and senior leadership
* Partner with engineers to integrate prototypes into production systems
* Design experiment to test new or incremental solutions launched in production and build metrics to track performanceA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Relevant industry or academic applied research experience in operations research, optimization, machine learning, statistics or an equivalent field.

- PhD with applied research experience and expertise in Operations Research, Optimization, Machine Learning, Statistics, or an equivalent field
- Experience in large scale optimization and decomposition techniques, planning and scheduling problems
- Experience in building machine learning models and developing algorithms for business applications
- Experience in developing and deploying code for production systems
- Experience with exploratory data analysis and experimental design