Applied Scientist, AI-Driven Price Perception & Pricing

Amazon; San Francisco (CA); On-site; USD 142,800 - 193,200; Full time

Job summary

Amazon is seeking an Applied Scientist for the Price Perception and Evaluation Science team in Seattle/Washington. The role focuses on building self-learning price estimation and product understanding systems across billions of products worldwide, in collaboration with researchers, ML experts and economists.

The role emphasizes designing experiments, developing algorithms, and deploying scalable ML models to improve customer experience and price competitiveness.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Research and use of statistical techniques to create scalable solutions for business problems.
• Design, build, and deploy ML solutions to provide low prices and increased selection for customers.
• Evaluate proposed solutions via offline benchmarks and online A/B tests in production.
• Establish scalable, automated processes for large-scale data analyses, model development, validation and implementation.
• Publish and present your work at internal and external scientific venues.

Skills

Modeling experience

Research publications

ML knowledge

Problem solving

Education

PhD/MS+ experience

Tools

Java

C++

Python

Job description

Amazon is seeking an Applied Scientist for the Price Perception and Evaluation Science team in Seattle/Washington. The role focuses on building self-learning price estimation and product understanding systems across billions of products worldwide, in collaboration with researchers, ML experts and economists.

The role emphasizes designing experiments, developing algorithms, and deploying scalable ML models to improve customer experience and price competitiveness.