Amazon Simulation Engineer- Material Flow Design 

Germany, Berlin, Berlin 

530902081

The Innovation & Engineering vision is to develop novel end-to-end process-centric and sustainable infrastructure concepts, striving to meet or even exceed current True North. The team is working against ambitious targets concerning All-in TPH, VCPP, space efficiency (shipments per sqm / cbm) and embodied carbon. The team consolidates SMEs to cover complex tasks concerning yard, MHE, UTR processes, container design and sustainability. Responsibilities encompass designing Yard and UTR infrastructure concepts, governing new builds or retrofits from Building Requirements Sheet to Design Reviews, developing functional requirements with ACES and WWDE, and supporting Procurement for vendor selection. Collaborating with NASC Engineering, the team designs Middle Mile Nodes using infrastructural models derived from analytical work.Key job responsibilities
• Design, develop, and simulate engineering solutions for complex yard and 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 close with team internal Subject matter Experts to drive analyze simulation results
• 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 OperationsA day in the life

- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience working as a Data Scientist
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor’s degree in Industrial/ Mechanical/ Process Engineering A Bachelor or Master’s Degree in a highly quantitative field (Computer Science, Mechanical, Industrial Engineering, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- Tools: Experience in Plant Simulation, FlexSim, Emulate 3D, Altair, Hypermesh, NSS, AutoCAD or similar simulation tools
- Advanced experience in Discrete Event Simulation
- Coding in C++ and/or any scripting languages
- Experience in Statistics