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Data Scientist Amazon
Seattle, WA

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About Amazon

Job Description

CloudFront team is seeking a highly skilled and motivated Data Scientist to lead data analysis and help build a world class capacity planning, forecasting and data analytics platform. We are responsible for planning server and network capacity ahead by analyzing resource usage trends.

The team is responsible for providing actionable capacity, availability and performance metrics, causal attribution, and future predictions in a format that is easy to digest at the highest levels in the organization. These business insights highlight areas of capacity shortage or opportunity to optimize underutilized capacity, performance outliers, and assist in making well-informed, data-based business decisions. Using this information, we will help business leaders develop a strategy on what company-wide investments to make and the level of their importance.

As an Amazon Data Scientist, you will be working in one of the world's largest data warehouse environments. You will help build one of the largest cross-functional databases in Amazon, translating businesses questions into quantitative mechanisms used by hundreds of users worldwide.

You'll research and reuse existing data sources, expose and measure the current performance of our systems, find and quantify opportunities for improvement, and dive deep into existing algorithms to explain unexpected performance or measure causal relationships. You will collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user of data querying tools and advanced quantitative and modeling techniques, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication to drive change.

Key Responsibilities

* Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data
* Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance
* Analyze historical data to identify trends and support decision making
* Apply statistical or machine learning knowledge to specific business problems and data
* Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters
* Provide requirements to develop analytic capabilities, platforms, and pipelines
* Formalize assumptions about how systems are expected to work, create statistical definitions of outliers, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions are needed
* Given anecdotes about anomalies, design strategies to quantify the overall impact of such anomalies, deep dive to explain why they happen, and identify fixes
* Build decision-making models and propose solutions for business problems
* Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication

Amazon 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.

10001 employees

2127 7th avenue

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