Lead Simulation Specialist, Process Innovation
vor 4 Wochen
locations:
Berlin – DE, London – UK, Luxembourg - LU
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.
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. In addition, you will contribute to the end state
vision for simulation and experimentation of future Sort centers at Amazon.
Key job responsibilities
• Design, develop, and simulate engineering solutions for complex yard and
material handling challenges considering humanequipment 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 andor 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
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.
Through simulation of alternative scenarios and identified areas to improve,
concepts will be validated. An in depth report including clear recommendations
and actions to meet the desired state will close the loop.
About the team
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. They are key to making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise
of our people to get packages to their destination – quickly, conveniently and
sustainably.
### BASIC QUALIFICATIONS
- Experience with data scripting languages (e.g., SQL, Python, R, or
equivalent) or statisticalmathematical 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++ andor any scripting languages
- Experience in Statistics
### PREFERRED QUALIFICATIONS
- 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
- Masters 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
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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