Data Scientist II, Middle Mile Transportation Science team

• 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.
• Master's 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.
• USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually

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