Applied Scientist - Selection Monitoring Team

Job description

DESCRIPTION

Selection Monitoring team sits at the core of Amazon's retail business, and our systems help Amazon stay ahead of the curve by providing the broadest set of products to satisfy our customers' shopping needs.
We build platforms, systems and tools for the retail business, create and take advantage of datasets that contains billions of records, use the latest data processing technologies land machine learning techniques All aiming to keep Amazon's catalog comprehensive and competitively priced in order to maintain our position as the most customer-obsessed and innovative company in the world.

As an experienced machine learning scientist you will lead investigations and set the direction for the team by applying techniques from machine learning, information retrieval and data mining to solve some challenging problems using the data from the Amazon catalog and other big data repositories. We work on classifying and determining potential of new brands and products in the Amazon platform using the billions of items that are available in the Amazon catalog. The challenge is to solve these problems with very sparse data that requires processing and analysis.

Desired profile

BASIC QUALIFICATIONS

· Advanced degree in Machine Learning, Computer Science, Statistics, Applied Mathematics, Physics or in another highly quantitative field
· 3+ years of relevant experience
· Proficiency in object oriented programming in Java, Python or Scala programming in a Unix environment.
· Strong OO Design, Algorithm skills required.