Sr. Simulation Scientist, Worldwide Design Engineering - Simulation

Amazon.com Services LLC; Bellevue (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

Amazon.com Services LLC is seeking a Sr. Simulation Scientist to design and optimize the fulfillment network using discrete event simulations and AI-powered techniques.

You will work with cross-functional teams to drive process design decisions and deliver robust simulation models that inform strategic choices. The role requires deep dive into complex problems, coding of simulation algorithms, and mentorship of the broader simulation data science community.

Qualifications

• Experience in discrete event simulation to optimize complex operations.
• Experience with AI-powered simulation tools is a plus.
• Proficiency in Python or another OO language for research and modeling.

Responsibilities

• You influence the scientific strategy across multiple teams and support go/no-go decisions.
• Lead design, implementation, and delivery of DES simulations for complex processes.
• Coordinate simulation efforts between internal teams and outside vendors.
• Develop artifacts and documentation detailing simulation outcomes and recommendations.
• Mentor others and advance simulation data science practices.

Skills

Cross-functional collaboration

Problem solving

Communication

Tools

Python

FlexSim

Demo 3D

AnyLogic

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 Sr. 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 flow and buffer challenges during the development of next generation fulfillment solutions. The 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 simulation, optimization, AI powered simulation, advanced simulation tools development, coding simulation algorithms to drive process design decisions.

Key job responsibilities

• You influence the scientific strategy across multiple teams in your business area. You support go/no-go decisions, build consensus, and assist leaders in making trade-offs. You proactively clarify ambiguous problems, scientific deficiencies, and where your team's solutions may bottleneck innovation for other teams.
• Lead the design, implementation, and delivery of the simulation 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, AI powered simulation tools, PLC/IPC Emulations, Robotic system simulation and emulation
• Lead strategic system modelling and simulation projects using DES tools, software, PLC/IPC emulations, 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 research , 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

A day in the life

The day-to-day activities include challenging and problem solving scenario with fun filled environment working with talented and friendly team members. The stakeholders includes Worldwide Design Engineering org verticals, Fulfillment Technology and Robotics team members. The team solve problems related to critical design automation of Material handling equipment and technology design solutions.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular,