Data Scientist , AMXL Worldwide Science

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 Amazons 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 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 job responsibilities

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

Youll 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.


- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)
- 2 years of data scientist experience
- 3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- 1 years of guiding and coaching a group of researchers experience
- 1 years of working with or evaluating AI systems experience
- 1 years of creating or contributing to mathematical textbooks research papers or educational content experience
- Experience applying theoretical models in an applied environment

- Ph.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 in 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

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 youre applying in isnt 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 WA Bellevue - 136000.00 - 184000.00 USD annually