Data Scientist II, Middle Mile Transportation Science team
Core
Design, build, and ship machine learning and optimization models to drive multi-million-dollar planning decisions for Amazon's middle miles transportation network.
Role type
Senior IC machine learning and optimization engineer
Builds
Deployed ML and optimization models for network, labor, and capacity planning
Domain
Logistics / Transportation Operations / Machine Learning
Deliverable
production ML models
Required skills
Time-series forecasting, MIP/LP optimization, Deep learning, Statistical modeling, Feature engineering, Model validation and monitoring, AWS services (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), SQL, Python
Preferred skills
Advanced statistical modeling, Causal-DAG modeling, Model-chaining, GenAI/agentic systems
Technologies
Python, SQL, AWS (S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, EC2), MIP/LP solvers
Responsibilities
Design and implement complex ML and optimization solutions; Drive end-to-end delivery of scalable models from data exploration to deployment; Develop new modeling patterns for forecasting and optimization; Build robust model validation, backtesting, and monitoring pipelines; Define and own model performance metrics tied to business outcomes; Partner with Data Engineering and Software Development to productionize models
Seniority
Mid-level, hands-on IC