Description The Amazon Fulfillment Technology (AFT) Science team is seeking an exceptional Applied Scientist with strong operations research and optimization expertise 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, statistics, machine learning, and GenAI/LLM solutions that power production systems running across Amazon Fulfillment Centers worldwide. We solve a wide range of challenges encountered throughout the network, including labor planning and staffing, pick scheduling, stow guidance, and capacity risk management. We are tasked with developing innovative, scalable, and reliable science-driven production solutions that exceed the published state of the art, enabling systems to run frequently (ranging from every few minutes to every few hours per use case) and continuously across our large-scale network. Key job responsibilities As an Applied Scientist, you will collaborate with other scientists, software engineers, product managers, and operations leaders to develop optimization-driven solutions using a variety of tools and observe direct impact on process efficiency and associate experience in the fulfillment network. Key responsibilities include: - Develop 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 approaches - 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 for technical solutions with business stakeholders, engineering teams, and senior leadership - Partner with engineers to integrate prototypes into production systems - Design experiments 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: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Amazon Fulfillment Technology (AFT) designs, develops, and operates end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FCs). We harmonize the physical and virtual worlds so Amazon customers can get what they want, when they want it. The AFT Science team has expertise in operations research, optimization, statistics, machine learning, and GenAI/LLM. We also possess deep domain expertise in operational processes within FCs and their challenges. 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 and 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 evolve. Basic Qualifications - PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Master's degree in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of industry or academic research experience Preferred Qualifications - PhD in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree - Experience in labor planning, managing and coaching employee performance - Experience demonstrating software engineering skills in a previous intership, work experience, coding competitions, or publications, or experience with programming/scripting (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP) and experience that includes strong analytical skills, attention to detail, and effective communication abilities - Experience in analyzing data to drive 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 - 142,800.00 - 193,200.00 USD annually