Overview As an Applied Scientist on Amazon's Price Perception and Evaluation team, you will help build and scale a self-learning price estimation system across billions of products. You collaborate with researchers, ML engineers, and economists to design experiments and improve seller pricing to enhance the customer experience. You will deploy scalable ML solutions and validate them through offline tests and live A/B experiments. The role combines rigorous scientific methods with practical, data-driven impact in a fast-moving marketplace.
Compensation / Benefits- health insurance (medical, dental, vision)
- 401(k) matching
- paid time off
- parential leave
- RSUs and sign-on payments
- comprehensive benefits
Responsibilities- Research and apply statistical techniques to create scalable business solutions
- Design, build, and deploy ML systems that enable low prices and greater selection
- Evaluate solutions via offline benchmarks and online production A/B tests
- Establish scalable, automated processes for large-scale data analyses, model development, validation and deployment
- Publish and present work at internal and external scientific venues
Key requirements- 3+ years 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 peer-reviewed venues
- Experience programming in Java, C++, Python or related language
- collaboration with cross-functional teams
- ability to communicate complex ideas clearly
- strong problem-solving and experimental design skills
- statistical techniques for scalable solutions
- machine learning model development and deployment
- Java, C++, Python programming
