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
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.
- Master's degree in computer science, mathematics, statistics,
machine learning or equivalent quantitative field
- Experience programming in
Java,
C++,
Python or related language
- PhD with industry applied research experience and expertise in Operations Research, Optimization, ML/AI, Statistics, or an equivalent field
- Proven track record of translating research into production systems and deploying production-grade code
- Experience in data analysis and leveraging analytics to make decisions
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 - 136,000.00 - 184,000.00 USD annually