Applied Scientist, Retail Pricing Science and Research

Job summary
The retail pricing science and research group is a team of scientists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals.
We are seeking an applied scientist to help envision, design and build the next generation of retail pricing capabilities. You will work at the intersection of economic theory, statistical inference, machine learning and optimization theory to design new methods and pricing strategies to deliver game changing value to our customers.

Key job responsibilities
The Applied Scientist will partner with senior scientists on the team, the product managers, and the engineers to develop ML models and solutions for our business problems. They build scalable prototypes and design the right simulation and metrics to examine their efficacy. They will represent and advocate their models to the leaders in our organization.

A day in the life

• Discussions with other scientists, as well as with product managers and tech leaders to understand the business problem
• Brainstorming with other scientists to design the right model for the problem in hand
• Deep dive into the data and find efficient ways to collect and use it
• Modeling and creating working prototypes
• Analyze the results and review with partners
• Present journal quality research in Internal and External science forums

About the team
The pricing research group is a team of ML scientists and economists who design and implement the analytics powering pricing for Amazon’s on-line retail business. The team uses world-class analytics to make sure that the prices for all of Amazon’s goods and services are aligned with Amazon’s corporate goals.

Basic Qualifications

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• Experience programming in Java, C++, Python or related language

• Ph.D. in Computer Science, Machine Learning, Statistics or a related quantitative field
• Financial quantitative analysis or market making experience
• Submitted Patents, and/or peer-reviewed scientific contributions in premier journals and conferences
• Experience working with deep learning reinforcement learning models.

Preferred Qualifications

• Previous experience in pricing systems
• Experience with deep learning techniques in NLP

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.