Simulation Scientist, Amazon Logistics, Worldwide Engineering and Innovation North American Sortation and Ultrafast Engineering

Amazon•Nashville, TN

27d

About The Position

Are you inspired by Innovation? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at World Wide Engineering and Innovations (WWEI) - Sortation and Ultrafast Engineering (SUE) team. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. 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 discrete event 3D simulations using tools like Anylogic, FlexSim, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and using technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.

Requirements

PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets

Nice To Haves

Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks

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 long-term 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 cross-organization trade-offs 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