Data Scientist

US-WA-Seattle
3 years ago
Job ID
295333
Amazon Corporate LLC
Position Category
Business Intelligence

Job Description

You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don’t quit. You will also have the opportunity to display your skills in the following areas:
· Design, implement, and support infrastructure providing secured access to large datasets.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Ruby.
· Interface with business customers to gather requirements.
· Model data and metadata to support ad-hoc and pre-built reporting.
· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
· Tune application and query performance using Unix profiling tools and SQL.
· Analyze and solve problems at their root, stepping back to understand the broader context.
· Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
· Respond to high priority requests from senior business leaders.
· Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets

Basic Qualifications

· Masters degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline.
· Advanced knowledge in data analysis
· Advanced knowledge of statistical modeling
· Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.
· Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, etc.)

Preferred Qualifications

·PhD in Computer Science, Engineering, Math, Finance, Statistics or related discipline.
· Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
· Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams.
· Experience with at least one scripting language (Perl, Ruby, PHP, etc)
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