pJob ID: | Amazon.com Services LLC /ppThe 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. /ppAs 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. /ppYou will work on problems such as: /pulliLong- and short-horizon forecasting /liliNetwork and capacity optimization /liliGenAI / agentic systems /liliDefect prevention and adaptive planning /li /ulpYou will partner closely with Engineering, Product, Engineering, and stakeholders to translate ambiguous operational pain points into measurable model outcomes. /ph3Key job responsibilities /h3ulliDesign and implement complex ML and optimization solutions (forecasting, MIP/LP, simulation, Deep learning / foundation model) /liliDrive end-to-end delivery of scalable models. From data exploration and feature engineering through training, evaluation, deployment, and post-launch monitoring; /liliDevelop new modeling patterns and analytical frameworks for forecasting (multivariate, hierarchical, causal-DAG, model-chaining)

and optimization; /liliBuild robust model validation, backtesting, and monitoring pipelines; identify and eliminate sources of leakage, bias, and silent failure; /liliDefine and own model performance metrics (e.g., WAPE) tied to business outcomes; /liliPartner with Data Engineering and Software Development to productionize models and define I/O contracts, packaging, and model CI/CD; /liliExcellent communication to present findings, tradeoffs, and recommendations clearly to stakeholders and senior leadership. /li /ulh3Basic Qualifications /h3ulli2+ years of data scientist experience /lili3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience /lili3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience /liliExperience applying theoretical models in an applied environment /liliExperience communicating technical concepts to a non-technical audience /liliProficiency in statistical modeling and machine learning — time-series forecasting, regression, tree-based methods, and deep learning. /li /ulh3Preferred Qualifications /h3ulliMaster's degree in Science, Technology,

Engineering, or Mathematics (STEM) /liliExperience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 /liliExperience in a ML or data scientist role with a large technology company /li /ulpAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /ppOur 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. /ppUSA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually /ppAmazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life ADD 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. /ph3Benefits /h3ulliHealth insurance (medical, dental, vision, prescription, Basic Life ADD insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage) /lili401(k) matching /lilipaid time off /liliparental leave /li /ulpLearn more about our benefits at /p #J-18808-Ljbffr

Data Scientist, North America Sort Centers, Amazon Transportation Services

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