Data Scientist - Amazon Publisher Services

Job description

DESCRIPTION

Amazon's Advertising technology team builds the technology infrastructure and ad serving systems to manage billions of advertising queries every day. The result is better quality advertising for publishers and more relevant ads for customers. Our infrastructure supports millions of Internet users and handles billions of queries per day, all delivered in milliseconds. Our data platform processes massive data sets to develop business intelligence and analytics that are critical for the efficiency and profitability of our advertising business.

We are seeking a talented and self-motivated individual to join Amazon Publisher Service engineering team to work on our analytics products. The ideal candidate relishes working on data analytics and data science on large volume of data at Amazon scale. He/she has hands on experiences on data modeling, ETL design and miscellaneous data analytics tools to understand the insight of data.

In this role, you will:
* Design and build data pipelines that ingest data from multiple sources into hybrid data storages at Amazon scale
* Work closely with software engineers to build OLAP systems to provide our customers effective and easy-to-use analytics products using Hadoop/Hive, Cascading, and AWS Analytics technologies.
* Explore technologies and design custom solutions to improve our data quality, workflow and job manageability and scalability.
* Troubleshoot data issues and build customized reports to investigate key business questions.

Desired profile

BASIC QUALIFICATIONS

* Graduate degree (MS or PhD) in Computer Science, Mathematics, Statistics, or related disciplines.
* Experience with data analytics and modeling, and/or machine learning.
* Experience with writing production code in major programming languages (e.g. Java, Python, JavaScript, and Ruby) and SQL.
* Strong communication skills to present quantitative results