Senior Data Scientist, MAPLE - Recommender System

Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling techniques? Join us and youll help millions of customers make informed purchase decisions while also advancing the state of Amazons science by publishing research!

Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.
- Develop and test new signals for improving recommendation models
- Use supervised and uplift learning algorithms to improve customer experience
- Design A/B tests and conduct statistical analysis on their results
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
- Present and publish science research, contributing to Amazons science community
- Mentor junior engineers and scientists.

About the team
Our teams mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazons customers. Our teams culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazons business and for our customers. - 5+ years of data querying languages (e. g. SQL), scripting languages (e. g. Python) or statistical/mathematical software (e. g. R, SAS, Matlab, etc. ) experience
- 5+ years of data scientist experience
- Experience with statistical models e. g. multinomial logistic regression
- Experience developing neural network models