Job Directory Amazon Manager, Applied Science - Delivery Experience
Amazon

Manager, Applied Science - Delivery Experience Amazon
Seattle, WA

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About Amazon

Job Description

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 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.

Major responsibilities:

* Lead a ML team to research and implement machine learning and statistical techniques to create scalable and effective models in Delivery Experience (DEX) systems
* Solve business problems and to identify business opportunities to provide the best delivery experience on all Amazon-owned sites.
* Design, development and evaluation of highly innovative machine learning models for big data.
* Analyzing and understanding large amounts of Amazon's historical business data to detect patterns, to analyze trends and to identify correlations and causalities
* Working closely with other software engineering teams to drive real-time model implementations and new feature creations
* Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

About Amazon

Amazon is a company operating a marketplace for consumers, sellers, and content creators.

Headquarters
Size
10001 employees
Amazon

2127 7th avenue

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