Data Scientist , AMXL Science

Job :  |  Services LLC

Are you passionate about applying machine learning, time series forecasting, and operations research to transform the delivery of heavy and bulky items for Amazon customers? Are you excited about working with large‑scale operational data and developing models that drive real business impact? 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.

• Apply 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.

About the team:
You'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 whiteboarding 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 work is high‑visibility and high‑impact. The models you build will directly influence how millions of heavy and bulky items reach customers.

• Master'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 machine learning/statistical modeling data analysis tools and techniques, and experience with model performance parameters.
• 1+ years guiding and coaching a group of researchers.
• 1+ years working with or evaluating AI systems.
• 1+ years creating or contributing to mathematical textbooks, research papers, or educational content.
• Experience applying theoretical models in an applied environment.

• Ph.D. in 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 decisions.
• Experience effectively communicating complex concepts through written and verbal communication.

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, please visit (Use the "Apply for this Job" box below). 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 USD  -  annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation is determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and 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.