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Amazon

Senior Applied Scientist Amazon
Seattle, WA

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About Amazon

Job Description

Amazon's CloudTune group in Seattle is looking for a Senior Applied Scientist to join our Forecasting & Insights team. The team develops large-scale models to inform procurement and allocation of compute capacity for Amazon's core shopping experience, fulfillment and Prime Video during new product launches, high velocity events and non-peak periods.

As a scientist on CloudTune Forecasting & Insights team, you will partner with technology and business owners to build new services that surprise and delight our customers. We develop sophisticated algorithms that involve learning from large amounts of past data, such as actual sales, website traffic, merchandising activities, promotions, similar products and product attributes, in order to forecast the demand for our compute infrastructure. These forecasts are used to determine the level of investment in capital expenditures, promotional activity, engineering efficiency projects and determining financial performance.

You will grow CloudTune's ability to programmatically detect and quantify the impact of meaningful future business activities on compute infrastructure needs. You will provide thought leadership and define science roadmap. You will work on mathematical problems with a high level of ambiguity. You will analyze and process large amounts of data, develop new algorithms and improve existing approaches based on statistical models, machine learning algorithms and big data solutions to automatically scale Amazon's compute infrastructure, optimizing the balance between availability risk and cost efficiency for all of Amazon businesses.

Key responsibilities:

* Process and analyze large data sets, mining additional data sources as needed
* Analyze compute scaling metrics to identify business drivers that influence infrastructure expenditures
* Design and execute experiments to inform relationships between variables of interest
* Build mathematical models to represent demand forecasting at various levels.
* Prototype these models by using high-level modeling languages such as R or in software languages such as Python.
* Directly contribute to the production logic
* Create, enhance, and maintain technical documentation, and present to other scientists and business leaders.

We are looking for top scientists capable of using ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

About Amazon

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

Headquarters
Size
876800 employees
Amazon

410 Terry Ave N

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