Applied Scientist - Delivery Experience, DEX AI

Why this job is awesome?
- This is SUPER high-visibility work: Our mission is to provide consistent, accurate, and relevant delivery information to every single page on every Amazon-owned site.
- MILLIONS of customers will be impacted by your contributions: The changes we make directly impact the customer experience on every Amazon site. This is a great position for someone who likes to leverage Machine learning technologies to solve the real customer problems, and also wants to see and measure their direct impact on customers.
- We are a cross-functional team that owns the ENTIRE delivery experience for customers: From the business requirements to the technical systems that allow us to directly affect the on-site experience from a central service, business and technical team members are integrated so everyone is involved through the entire development process.

- Do you want to join an innovative team of scientists and engineers who use machine learning and statistical inference techniques to deliver the best delivery experience on every Amazon-owned site?
- Are you excited by the prospect of analyzing and modeling terabytes of data on the cloud and create state-of-art algorithms to solve real world problems?
- Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?
- Do you like to innovate and simplify?

If yes, then you may be a great fit to join the Delivery Experience Machine Learning team!





Key job responsibilities
· Research and implement ML techniques to create scalable and effective models in Delivery Experience (DEX) systems
· Solve business problems and identify business opportunities to provide the best delivery experience on all Amazon-owned sites.
· Design and develop search ranking, recommendation and personalization models to improve Amazon customer experience
· Design and develop machine learning framework to measure the long-term effect of all models in DEX systems
· Analyze and understand large amounts of Amazon’s historical business data to detect patterns, to analyze trends and to identify correlations and causalities
· Establishing scalable, efficient, automated processes for large scale data analysis and causal inference