Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability (Saskatchewan)

Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability (Saskatchewan)

06 Sep
|
Amazon
|
Saskatchewan

06 Sep

Amazon

Saskatchewan

Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability Amazon

Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability Amazon

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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 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.

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 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. 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.

This is an opportunity to think big about how to solve a challenging problem for the customers. As a Simulation Engineer, 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.

As a Simulation Engineer,



you will apply cutting edge designs and methodologies for complex use cases across Middle Mile network to drive innovation. 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 with technical and non-technical customers to design experiments, simulations, and communicate results

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

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 Starting from the Inbound vehicle and volume profile, indicators of the to be processed volume hourly distribution is available. This is the starting point for process centric design. Working backwards from minimum manual interactions with shipments, the Simulation Engineer has to create material flow concepts and evaluate them against True North processes, productivity and costs.

Through simulation, specific business cases will be modeled by the Simulation Engineer and assessed with internal and external subject matter experts. Amazon couldn’t deliver at pace without the Amazon Transportation Service (ATS) team. As part of ATS, you’ll be welcomed into a diverse team that plays a central role in our success.

Using air, sea and road transport, as well as sortation centres equipped with the latest technology, you’ll help Amazon’s transport run at maximum efficiency. Our team captures data and uses it to drive decisions.

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 Experience with data visualization using Tableau, Quicksight, or similar tools Experience managing data pipelines Experience as a leader and mentor on a data science team Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with working experience as a Data or Research Scientist. Proven experience with machine learning, statistical modeling, data mining, and analytics techniques. Proven experience with Discrete Event Simulation HTML, Java, or Visual Basic programming and interfacing knowledge Basic knowledge of material handling and storage systems Process improvement and facility flow experience Ability to be flexible and work independently in a rapid-paced and rapidly changing environment Ability to effectively manage, influence, negotiate, and communicate with external business partners and internal teams to meet organizational capacity needs.

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Amazon

Business EU SARL, Niederlassung Deutschland - Q23 Employment type Full-time

Job function Project Management, Management, and Product Management

Industries Software Development

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📌 Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability (Saskatchewan)
🏢 Amazon
📍 Saskatchewan

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