Job ID: 10441585 | Amazon.Com Services LLCAre you passionate about applying machine learning, time series forecasting, and operations research to transform the delivery of heavy and bulky items for Amazon customers? If so, the Amazon Extra Large (AMXL) Science team may be the right fit for you.AMXL is Amazon's specialized business for delivering heavy and bulky items — appliances, furniture, fitness equipment, and mattresses — with a premium customer experience that includes room-of-choice delivery, at-home installations, and assembly services. In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders.Key ResponsibilitiesApply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand forecasting, workforce scheduling, and network optimization.Analyze large-scale historical and real-time operational data to surface efficiency patterns, bottlenecks, and emerging trends across the AMXL network.Develop, validate, and deploy models that improve cost-to-serve and customer experience.Partner with cross-functional teams to implement data-driven strategies and measure impact.Build scalable, automated pipelines for data ingestion, feature engineering, model training, and validation.Monitor deployed model performance and communicate results through clear reporting on key operational and business metrics.Day in the LifeYou'll be part of a small, collaborative team of scientists who move fast and care deeply about the problems they solve. A typical week might involve white‑boarding a new forecasting approach with a senior scientist, partnering with engineers to push a model into production, deep-diving into operational data to understand why a metric moved, or presenting your findings to business leaders who will act on them. The models you build will directly influence how millions of heavy and bulky items reach customers.About the TeamThe AMXL Science team is a worldwide group of data scientists, applied scientists, and product managers solving Amazon's most complex heavy-bulky supply chain challenges. We build forecasting models, capacity planning systems, and optimization tools that directly impact millions of customer deliveries.Basic QualificationsMaster's degree in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience.2+ years of data scientist experience.3+ years of experience with data querying languages (e.G., SQL), scripting languages (e.G., Python), or statistical/mathematical software (e.G., R, SAS, Matlab).3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.1+ year of guiding and coaching a group of researchers.1+ year of working with or evaluating AI systems.1+ year of creating or contributing to mathematical textbooks, research papers, or educational content.Experience applying theoretical models in an applied environment.Preferred QualificationsPh.D. in Science, Technology, Engineering, or Mathematics (STEM).Knowledge of machine learning concepts and their application to reasoning and problem-solving.Experience in Python, Perl, or another scripting language.Experience in a ML or data scientist role with a large technology company.Experience defining and creating benchmarks for assessing GenAI model performance.Experience working on multi-team, cross-disciplinary projects.Experience applying quantitative analysis to solve business problems and making data-driven business decisions.Experience effectively communicating complex concepts through written and verbal communication.Compensation & BenefitsThe base salary range for this position is $136,000.00–$184,000.00 USD annually. 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, dental, vision, prescription, basic life & AD&D insurance, 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.Equal Opportunity EmployerAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.Jobs/content/en/how-we-hire/accommodations for more information. If the country or region you're applying in isn't listed, please contact your Recruiting Partner.LocationUSA, WA, Bellevue#J-18808-Ljbffr