--- title: Data Scientist, North America Sort Centers description: Amazon is hiring for the Data Scientist, North America Sort Centers, Transportation Services role. See the full description and apply. type: job url: https://www.foundrole.com/jobs/data-scientist-north-america-sort-centers-transportation-services-at-amazon-01a0d0c9-70d2-7b17-9ca6-1f651df461cc date: 2026-09-28T03:34:11Z og_description: Join Amazon as Data Scientist, North America Sort Centers, Transportation Services in Bellevue, WA. Pays $136K–$184K per year. og_image: https://www.foundrole.com/og/b6o3px.png breadcrumbs: - label: Home url: https://www.foundrole.com/ - label: Search url: https://www.foundrole.com/jobs --- | | | |---|---| | **Company** | [Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) | | **Location** | Bellevue, WA | | **Salary** | $136K/yr - $184K/yr | | **Type** | Full Time | | **Posted** | Sep 23, 2026 | ## Description The NASC & TOM Science team owns Operations Research, Machine Learning, and AI projects across the North America Sort Center (NASC) and Transportation Operations Management (TOM) planning and operations organizations. We turn complex network, labor, and capacity problems into deployed models that drive multi-million-dollar planning decisions every day. As a Data Scientist II, you will own the end-to-end Machine learning Operation cycle: Design, build, and ship machine learning and/or optimization models that directly shape Amazon's middle miles planning decisions. You will own end-to-end delivery — from problem framing with business partners, through modeling and validation, to deployment in internal model hosting platform and integration with downstream planning tools. You will work on problems such as: Long- and short-horizon forecasting Network and capacity optimization GenAI / agentic systems Defect prevention and adaptive planning You will partner closely with Engineering, Product, Engineering, and stakeholders to translate ambiguous operational pain points into measurable model outcomes. Key job responsibilities - Design and implement complex ML and optimization solutions (forecasting, MIP/LP, simulation, Deep learning / foundation model) - Drive end-to-end delivery of scalable models. From data exploration and feature engineering through training, evaluation, deployment, and post-launch monitoring; - Develop new modeling patterns and analytical frameworks for forecasting (multivariate, hierarchical, causal-DAG, model-chaining) and optimization; - Build robust model validation, backtesting, and monitoring pipelines; identify and eliminate sources of leakage, bias, and silent failure; - Define and own model performance metrics (e.g., WAPE) tied to business outcomes; - Partner with Data Engineering and Software Development to productionize models and define I/O contracts, packaging, and model CI/CD; - Excellent communication to present findings, tradeoffs, and recommendations clearly to stakeholders and senior leadership. ## Basic Qualifications - 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 - Experience applying theoretical models in an applied environment - Experience communicating technical concepts to a non-technical audience - Proficiency in statistical modeling and machine learning — time-series forecasting, regression, tree-based methods, and deep learning. ## Preferred Qualifications - Master's degree in Science, Technology, Engineering, or Mathematics (STEM) - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience in a ML or data scientist role with a large technology company 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 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 . USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually ## Skills - Feature Engineering - Scripting - Amazon Web Services - AWS SageMaker - Statistical Modeling - Deep Learning - Performance Measurement - Amazon Kinesis - Software Deployment - Python - R - Amazon S3 - Amazon Redshift - Directed Acyclic Graph (Directed Graphs) - SQL - Software Development - MATLAB - Regression Analysis - CI/CD - Model Validation - Packaging - Time Series Analysis And Forecasting - Computer Vision - Mathematics - Exploratory Data Analysis - Backtesting - Leadership - SAS - Data Analysis - Data Engineering - Forecasting - Communication - Machine Learning - Amazon Ec2 - Electronic Medical Record - AWS Lambda ## Benefits - Mental Health - Health Insurance - Dental Insurance - Vision Insurance - Life Insurance - Parental Leave - Paid Time Off (Pto) - 401(k) Plans - Employee Stock Options (ESOs) ## How to Apply [Apply for this position](https://www.foundrole.com/jobs/data-scientist-north-america-sort-centers-transportation-services-at-amazon-01a0d0c9-70d2-7b17-9ca6-1f651df461cc?utm_source=ai_markdown) ## Related - [More jobs at Amazon](https://www.foundrole.com/companies/amazon?utm_source=ai_markdown) - [Browse all companies](https://www.foundrole.com/companies?utm_source=ai_markdown)