Innovative Materials Flow Engineer
vor 1 Woche
At Amazon TA, we are seeking a highly skilled Innovative Materials Flow Engineer to join our team. This is a unique opportunity to design and develop innovative solutions for complex yard and material handling challenges. The successful candidate will work closely with diverse customer groups to solve business problems and provide data-driven solutions that drive innovation.
About the RoleWe estimate the salary for this position to be around $120,000 - $180,000 per year, depending on experience and location. As an Innovative Materials Flow Engineer at Amazon TA, you will have the chance to apply cutting-edge designs and methodologies for complex use cases across the Middle Mile network. 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.
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
- Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control
- Collaborate 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
To succeed in this role, you should have:
- 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 or 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
Having one or more of the following qualifications would be advantageous:
- 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 fast-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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