About this opportunity
Amazon Inc. lists this Applied Scientist II, Amazon Fulfillment Technology , Amazon Fulfillment Technologies (AFT) opportunity in bellevue, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job ID: | Amazon.com Services LLC
The Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Applied Scientist, with strong optimization and analytical skills, to develop production solutions for one of the most complex systems in the world: Amazon’s Fulfillment Network. At AFT Science, we design, build and deploy optimization, simulation, and machine learning solutions to power the production systems running at world wide Amazon Fulfillment Centers. We solve a wide range of problems that are encountered in the network, including labor planning and staffing, demand prioritization, pick assignment and scheduling, and flow process optimization. We are tasked to develop innovative, scalable, and reliable science-driven solutions that are beyond the published state of art in order to run frequently (ranging from every few minutes to every few hours per use case) and continuously in our large scale network.
Key job responsibilities
As an Applied Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network. Key responsibilities include:
Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements
Deep dive into data and code to identify opportunities for continuous improvement and/or disruptive new approach
Develop scalable mathematical models for production systems to derive optimal or near-optimal solutions for existing and new challenges
Create prototypes and simulations for agile experimentation of devised solutions
Advocate technical solutions to business stakeholders, engineering teams, and senior leadership
Partner with engineers to integrate prototypes into production systems
Design experiment to test new or incremental solutions launched in production and build metrics to track performance
A day in the life
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, full-time employees include:
Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan
About the team
Amazon Fulfillment Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.
The AFT Science team has expertise in operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.
Basic Qualifications
PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience
2+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Relevant industry or academic applied research experience in operations research, optimization, machine learning, statistics or an equivalent field.
Preferred Qualifications
PhD with applied research experience and expertise in Operations Research, Optimization, Machine Learning, Statistics, or an equivalent field
Experience in large scale optimization and decomposition techniques, planning and scheduling problems
Experience in building machine learning models and developing algorithms for business applications
Experience in developing and deploying code for production systems
Experience with exploratory data analysis and experimental design
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 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 .
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
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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Worksite address
bellevue, WA, 98009, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.