Senior Digital Twin Engineer, EU Operations
vor 1 Woche
team of engineers with the purpose of designing, developing and deploying
simulations and digital twins for our fulfillment and sort centers in the EU
network. You are an analytical problem solver who enjoys diving into data from
various businesses, is excited about investigations and algorithms, can multi-
task, and can credibly interface between scientists, engineers, and business
stakeholders. Your expertise in synthesizing and communicating insights and
recommendations to audiences of varying levels of technical sophistication
will enable you to answer specific business questions and innovate for the
future.
In this position, you will develop simulation models and conduct
experimentation on cutting edge designs for our fulfillment and sort centers’
truck yards, and apply methodologies for complex use cases to drive
innovation. You will also contribute to the end state vision for simulation
and experimentation of future fulfillment and sort centers yards at Amazon.
This is a blue-sky role that gives you a chance to roll up your sleeves and
dive into big data sets in order to build simulations and experimentation
systems at scale, build optimization algorithms, and leverage cutting-edge
technologies across Amazon.
Key job responsibilities
• Gather operational business requirements for truck yards; translate
requirements into process-flow simulation logic or geo-spatial simulations
• Design and develop engineering solutions via simulation models for complex
yard and material handling challenges considering humanequipment interactions
• Identify, design, and create data pipelines to feed simulations with input
data; apply statistical analyses to create robust data for stochastic
processes
• Lead and coordinate simulation efforts for process improvements; arrive at
optimal solutions through equipment specification, material flow, process
design, ergonomics, Associate experience, operational considerations and site
layout
• Conduct what-if scenario analyses, experimentation, and simulation-
optimization
• Code scripts (Java) to connect simulations (AnyLogic) with external sources
and algorithms; deploy and host simulations in the cloud (e.g. AnyLogic Cloud)
• Identify and define key performance indicators (KPI); work close with team
internal Subject matter Experts to analyze simulation results
• Conduct post-mortem on simulations, after implementation of new designs, in
partnering with Safety and Operations
• Develop, document and update simulation standards, including standard
results reports
• Create bottom-up plans for forward-looking years and execute to the goals
• Simultaneously manage multiple projects and tasks while effectively
influencing, negotiating, and communicating with internal and external
business partners
About the team
Location : Madrid – ES, Berlin – DE, London – UK, Luxembourg - LU, and more
We are seeking an experienced Simulation Engineer to work in the Amazon
Customer Excellence Systems (ACES) team. We drive process innovation,
stabilization, standardization and continuous improvement in the EU network.
In ACES, we also support other teams such as Innovation & Engineering for
Middle Mile Node Programs, to develop novel end-to-end process-centric and
sustainable infrastructure concepts. This team is working against ambitious
targets concerning All-in TPH, VCPP, space efficiency (shipments per sqmcbm)
and embodied carbon. The team consolidates SMEs to cover complex tasks
concerning yard, under the roof (UTR) processes, MHE, container design and
sustainability. Responsibilities encompass designing Yard and UTR
infrastructure concepts, governing new builds or retrofits from Building
Requirements Sheet to Design Reviews, and developing functional requirements.
### BASIC QUALIFICATIONS
• Bachelor’s degree in IndustrialMechanicalProcess Engineering or Master’s
Degree in a highly quantitative field (Computer Science, Mechanical,
Industrial Engineering, Machine Learning, Operational Research, Statistics,
Mathematics, etc.)
• Demonstrable simulation development experience with AnyLogic and AnyLogic
Cloud
• Experience developing both agent-based and discrete-event simulations
• Experience designing & conducting experiments and performing simulation-
optimization in AnyLogic (GeneticOptQuest)
• Proficiency in Java coding and its integration with AnyLogic
• Cross-functional project management experience, preferably in process
improvements initiatives
• Experience with statistical modeling and statistical-analysis tools (e.g.
Minitab)
### PREFERRED QUALIFICATIONS
• Masters or PhD in Statistics, Applied Math, Operations Research, Economics,
or a related quantitative field with working experience as a Data or Research
Scientist.
• Extensive simulation development experience with AnyLogic and AnyLogic Cloud
• Ability to construct data pipelines and build SQL queries
• Experience with other simulation software (e.g. FlexSim)
• Python coding
• Experience working as a data scientist
• Experience in process improvement, six-sigma & lean projects
• Experience building digital twins
• Experience with BIdata visualization in QuickSight
• Experience with machine learning and data mining
• Experience with AutoCAD
• Knowledge of truck and yard management environments
Amazon is an equal opportunities employer. We believe passionately that
employing a diverse workforce is central to our success. We make recruiting
decisions based on your experience and skills. We value your passion to
discover, invent, simplify and build. Protecting your privacy and the security
of your data is a longstanding top priority for Amazon. Please consult our
Privacy Notice (https:www.amazon.jobsenprivacy_page) to know more about
how we collect, use and transfer the personal data of our candidates.
mwd
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