Data Scientist II, Middle Mile Transportation Science team

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 Amazons 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.

- Masters degree in Science Technology Engineering or Mathematics (STEM)
- 2 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- 2 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
- Experience with AWS services including S3 Redshift Sagemaker EMR Kinesis Lambda and EC2
- Proficiency in statistical modeling and machine learning time-series forecasting regression tree-based methods and deep learning.
- Demonstrated ability to communicate technical results to non-technical business audiences.

- 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

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