Applied Scientist, Operations AI & Forecasting

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

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Bellevue, WA seeks an Applied Scientist to advance operational models across North American Operations. You will own project scoping, data enablement, model development, and production launches, engaging with technical and non-technical partners across Operations and Finance.

The role emphasizes ownership and scalable AI solutions. The team includes Data Scientists, Applied Scientists and Economists, focusing on data-driven decisions and transparent problem statements.

Qualifications

• Master's degree or higher in a relevant field is required or in process.
• Experience programming in Java, C++, Python or related language.
• Experience with SQL and an RDBMS or Data Warehouse.
• Experience building machine learning models for business applications.
• Experience implementing algorithms using toolkits and self-developed code.
• Publications in top-tier conferences or journals.

Responsibilities

• Interfacing with stakeholders to translate business problems into design documents.
• Architecting, building, and deploying production-grade models to cloud-native environments with CI/CD.
• Designing AI systems for model explainability and customer workflows automation.
• Developing evaluation frameworks to detect quality regressions before customers.

Skills

Java

C++

Python

SQL

ML modeling

Algorithm design

Publications

Education

Master's degree or above in computer science, machine learning, engineering, or related fields

Job description

Amazon in Bellevue, WA seeks an Applied Scientist to advance operational models across North American Operations. You will own project scoping, data enablement, model development, and production launches, engaging with technical and non-technical partners across Operations and Finance.

The role emphasizes ownership and scalable AI solutions. The team includes Data Scientists, Applied Scientists and Economists, focusing on data-driven decisions and transparent problem statements.