Data Scientist II: End-to-End ML & Optimization

Amazon; Bellevue (WA); On-site; USD 136,000 - 184,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon NASC & TOM Science team seeks a Data Scientist II to own end-to-end ML and optimization cycles. You’ll design, build, and ship models that influence middle miles planning decisions, working from problem framing with business partners to deployment in model hosting platforms.

You will collaborate with Engineering and Product to translate operational pain points into measurable model outcomes, ensuring robust validation and monitoring across the lifecycle.

Qualifications

• Master's degree in Science, Technology, Engineering, or Mathematics (STEM).
• 2+ years of SQL and Python or R experience.
• 2+ years of ML/statistical modeling data analysis experience.
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2.
• Proficiency in statistical modeling and machine learning methods.
• Ability to communicate technical results to non-technical stakeholders.

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 through training, evaluation, deployment, and monitoring.
• Develop new modeling patterns and analytical frameworks for forecasting and optimization.
• Build robust model validation, backtesting, and monitoring pipelines; identify bias/leakage.
• Define and own model performance metrics tied to business outcomes.
• Partner with Data Engineering and Software Development to productionize models and define I/O contracts.
• Communicate findings, tradeoffs, and recommendations clearly to stakeholders and senior leadership.

Skills

SQL

Python

Statistical modeling

AWS Sagemaker

Communication

Education

Master's degree in STEM

Tools

S3

Redshift

Sagemaker

EMR

Kinesis

Lambda

EC2

Job description

Amazon NASC & TOM Science team seeks a Data Scientist II to own end-to-end ML and optimization cycles. You’ll design, build, and ship models that influence middle miles planning decisions, working from problem framing with business partners to deployment in model hosting platforms.

You will collaborate with Engineering and Product to translate operational pain points into measurable model outcomes, ensuring robust validation and monitoring across the lifecycle.