drjobs Principal Simulation Scientist, WWDE Simulation

Principal Simulation Scientist, WWDE Simulation

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1 Vacancy
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Job Location drjobs

Bellevue - USA

Yearly Salary drjobs

$ 170500 - 294700

Vacancy

1 Vacancy

Job Description

The Worldwide Design Engineering (WWDE) organization delivers innovative effective and efficient engineering solutions that continually improve our customers experience. WWDE optimizes designs throughout the entire Amazon value chain providing overall fulfillment solutions from order receipt to last mile delivery.

We are seeking a Principal Simulation Scientist to assist in designing and optimizing the fulfillment network concepts and process improvement solutions using discrete event simulations for our World Wide Design Engineering Team.

Successful candidates will be technical expert and natural self-starter who have the drive to apply simulation and optimization tools to solve complex system flow and buffer challenges during the development of next generation fulfillment solutions. The Principal Simulation Scientist is 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 system emulation optimization AI/ML based simulation etc. to drive process design decisions.

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 modelling and simulation projects related to Digital Twin optimization integrate AI/ML into simulation models etc. to drive process design decisions
- Be an exemplary practitioner in simulation data 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 data 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 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


- 10 years of tech industry or equivalent experience
- PhD in a quantitative discipline such as statistics mathematics economics computer science or any related quantitative field
- Experience working effectively with science data processing and software engineering teams

- Experience implementing models and tools through the use of high-level modeling languages (AMPL Mosel R Matlab Julia)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170500/year in our lowest geographic market up to $294700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.


Required Experience:

Staff IC

Employment Type

Full-Time

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