Are you inspired by invention Do you like the idea of seeing how your work impacts the bigger picture Answer yes to any of these and youll fit right in here at Amazon Last Mile Solutions Engineering team.
WW AMZL Solutions Engineering team is looking to build out our Senior Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If youre interested in joining a rapidly growing team working to build a unique solutions advisory group with a relentless focus on the customer youve come to the right place. This is a bluesky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim Anylogic Emulate 3D etc and experimentation systems at scale build optimization algorithms and leverage cuttingedge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Sr. Simulation Scientist you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. 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. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.
Key job responsibilities
Key job responsibilities
Lead the design implementation and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a longterm impact on a product business or function using FlexSim Demo 3D AnyLogic or any other Discrete Event Simulation (DES) software packages
Lead strategic modeling and simulation research projects to drive process design decisions
Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
Identify and tackle intrinsically hard process flow simulation problems (e.g. highly complex ambiguous undefined with less existing structure or having significant business risk or potential for significant impact
Deliver artifacts that set the standard in the organization for excellence from process flow control algorithm design to validation to implementations to technical documents using simulations
Be a pragmatic problem solver by applying judgment and simulation experience to balance crossorganization tradeoffs between competing interests and effectively influence negotiate and communicate with internal and external business partners contractors and vendors for multiple simulation projects
Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach simulation outcomes recommendations and arguments
Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity probe assumptions illuminate pitfalls and foster shared understanding within simulation data science discipline
Pay a significant role in the career development of others actively mentoring and educating the larger simulation data science community on trends technologies and best practices
Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis simulation and developing modeling algorithms
Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network including equipment specification material flow control logic process design and site layout
Deliver results according to project schedules and quality
A day in the life
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
3 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
PhD or Masters degree and 5 years of quantitative field research experience
Experience with big data technologies such as AWS Hadoop Spark Pig Hive etc.
Experience communicating qualitative research methods and findings to nonqualitative researchers
Experience converting research studies into tangible realworld changes
Experience with discrete and continuous optimization methodologies and algorithms
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.