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Software Engineer - Data Science - Amazon

Amazon


Location:
Seattle, Washington
Date:
03/02/2017
Categories:
  • Data Engineer
  • Data Scientist
Amazon
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Job Details

Job Description

It’s Day One in Amazon Ads - if you want to be part of disrupting the existing advertising and big data analytics industries, look no further! Within the Amazon Advertising Platform, the Measurement and Data Science (MADS) team owns the measurement, data warehousing, and reporting platforms; develops measurement and analytics products; and drives platform scientific and algorithm development.We are looking for passionate, results oriented, and innovative engineers to develop the measurement and machine learning products that provide rich insight into advertising performance using Amazon’s unique data.

You will be a self-starter with strong design and coding skills who loves shipping great product. You will thrive on implementing creative approaches and dealing with the intricate complexity of petabyte scale advertising(over 10B new events per day), our rich retail data, and the needs of our diverse advertiser base. You will challenge yourself and others to constantly come up with better solutions that disrupt the direction of the entire industry.

The reward? You will get to work with the latest in big data analytics platforms and work as one of the technical leaders in a team of brilliant engineers looking to make history!

Requirements

Basic Qualifications

  • Master’s degree or equivalent* in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field plus at least 1 year of experience in software development (*Bachelor’s degree plus 3 years of progressively responsible software development experience may also be accepted).
  • 1 year of your experience should involve designing and implementing large-scale distributed systems using C++ or Java, Object Oriented design, and distributed programming
  • Knowledge of professional software engineering practices

     

Preferred Qualifications

  • Previous experience with peta-byte scale data, analytical/data science product development, and/or machine learning applications
  • Phd level work in quantitative field
  • Excellence in technical communication