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Amazon

Data Scientist - Delphi Amazon
Seattle, WA

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About Amazon

Job Description

The Amazon Demand Forecasting team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop sophisticated algorithms that involve learning from large amounts of data, such as prices, promotions, similar products, and a product's attributes, in order to forecast the demand of millions of products world-wide. These forecasts are used to automatically order millions of dollars' worth of inventory weekly and establish plans for tens of thousands of employees. The work is complex and important to Amazon. With better forecasts we drive down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.

In a typical day, you will work closely with talented machine learning scientists, statisticians, software engineers, and business groups. Your work will include cutting edge technologies that enable implementation of sophisticated models on big data. As a successful data scientist in our Demand Forecasting team, you are an analytical problem solver who enjoys diving into data, is excited about investigations and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems in Demand Forecasting, through collaboration with engineering, research, and business teams. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.

Major responsibilities include:

* Translating Demand Forecasting business questions and concerns into specific analytical questions that can be answered with available data using statistical and machine learning methods; working with engineers to produce the required data when it is not available
* Providing feedback to our science and engineering teams on the applicability of technical solutions from the business perspective
* Presenting critical data in a format that is immediately useful to answer questions about the inputs and outputs of Demand Forecasting systems and improving their performance
* Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
* Improving upon existing Demand Forecasting statistical or machine learning methodologies by developing new data sources, testing model enhancements, running computational experiments, and fine-tuning model parameters for new forecasting models
* Supporting decision making by providing requirements to develop analytic capabilities, platforms, pipelines and metrics then using them to analyze trends and find root causes of forecast inaccuracy
* Formalizing assumptions about how demand forecasts are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
* Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical and machine learning models and algorithms

Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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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