Amazon Simulation Scientist Amazon Logistics Solutions Engineering 

United States, Washington, Bellevue 

789722371

Key job responsibilities
• Design, develop, and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the Last Mile network
• Lead and coordinate simulation efforts for optimal solutions through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations and site layout
• The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand.
• Working with technical and non-technical customers to design experiments, simulations, and communicate results
• Develop, document and update simulation standards, including standard results reports
• Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions
• Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control
• Work closely with vendors, suppliers and other cross functional teams to come up with innovative solutions
• Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners
• Conduct post-mortem on simulations, after implementation of new designs, in partnering with Safety and Operations
A day in the life
Benefits:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- Bachelor's degree
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment