Sr. Simulation Scientist, Amazon Logistics

Amazon; Bellevue (WA); On-site; USD 159,200 - 215,300; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon's Last Mile Simulations and Analytics Engineering team is seeking a Sr. Simulation Scientist to tackle complex, large‑scale DES problems across the Last Mile network.

You'll design, implement, and deliver simulation data science solutions using tools like FlexSim, AnyLogic, and Emulate 3D, partnering with cross‑functional teams. You will translate research into actionable guidance, mentor others, and drive process design decisions through quantitative analysis, optimization, and rigorous

Qualifications

• 5+ years investigating feasibility of applying scientific principles to business problems.
• PhD, or Master's degree with 5+ years of quantitative field research experience.
• Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive.
• Experience communicating qualitative research methods to non-qualitative researchers.

Responsibilities

• Lead the design, implementation, and delivery of the simulation data science solutions for complex operational processes using DES software.
• Lead strategic modeling and simulation research projects to drive process design decisions.
• Be an exemplary practitioner to establish best practices and simplify problems to develop DES faster with high standards.
• Identify and tackle hard process flow simulation problems with significant business impact.
• Deliver artifacts setting the standard in the organization from design to documentation using simulations.
• Balance cross‑organization trade-offs and influence internal/external partners on multiple projects.
• Provide simulation data and measurements that influence business strategy; document outcomes and recommendations.
• Lead reviews of simulation research solutions and foster shared understanding within the team.
• Mentor and educate the larger simulation data science community on trends and best practices.
• Use Python or other OO languages for data analysis, simulation, and modeling algorithms.
• Coordinate simulation efforts between internal teams and outside vendors for optimal network solutions.

Skills

Simulation data science

Discrete event simulations

Cross-functional collaboration

Statistical analysis

Python programming

Education

PhD or Master's with 5+ years experience

Tools

FlexSim

AnyLogic

Emulate 3D

Python

Job description

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 you’ll fit right in here at Amazon Last Mile Simulations and Analytics Engineering team.

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 you’ll fit right in here at Amazon Last Mile Simulations and Analytics Engineering team.

WW AMZL Simulations and Analytics Engineering team is looking to build out our Simulation team to drive innovation across our Last Mile network. 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 Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage advanced 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 advanced 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

• 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
• Play 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

Basic Qualifications

• 5+ years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
• PhD, or Master's 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 non‑qualitative researchers

Preferred Qualifications

• Experience with discrete and continuous optimization methodologies and algorithms
• Experience converting research studies into tangible real‑world changes
• Industry experience of leveraging tools such as Discrete event simulations Flexsim, Anylogic, Emulate 3D to solve complex business problems

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually

Company - Amazon.com Services LLC

Job ID: A10456877