• Applied Scientist (Level 4)

    Location US-CA-Irvine
    Posted Date 12 months ago(3/30/2018 6:10 AM)
    Job ID
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Take the earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually and an opportunity to drive a next generation shopping experience. What do you get? The most exciting Big Data/Personalization position in the industry.

    Are you passionate about working on disruptive ideas? Are you obsessed with finding and building the most innovative and customer-friendly user experiences? Have you built and launched new customer experiences for millions of customers?

    This is a unique opportunity that combines the ability to build new and exciting user experiences for Amazon's customers, with the opportunity to work with 'big data' and advanced techniques to determine the best personalized experience for millions of Amazon's customers.

    With the recent launch of Echo and Fire TV, and Amazon's expanding stable of innovative devices, Amazon has made a significant investment across hardware, software and content licensing to bring together the best digital experience for our customers.

    Do you want to be part of a revolution that is defining how people get their entertainment and information?

    About us:
    We are a small, high performing team that works on the full software life-cycle with a huge emphasis on diving deep and experimenting rapidly leveraging Amazon’s Machine Learning/Big Data expertise. We design, experiment, implement, test and iterate and our goal is to make the Amazon ecosystem experience uniquely personal. Our org (a.k.a P13N) revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You” and we are looking for creative and innovative engineers with a penchant for deep technical problem solving and the ability to lead and mentor other engineers across teams/divisions.

    About the role:
    Major responsibilities:
    - Research and use of statistical techniques to create scalable
    solutions for business problems
    - Analyze and extract relevant information from large amounts of
    Amazon's historical business data to help automate and optimize key
    features and processes
    - Work closely with scientists and engineering teams to create and
    deploy new features
    - Work closely with stakeholders to optimize various business operations
    - Establish scalable, efficient, automated processes for large scale
    data analyses, model development, validation and implementation.

    Basic Qualifications

    • MS in Computer Science, Mathematics, or a related field.
    • Hands-on experience in predictive modeling and analysis
    • Outstanding programming ability in at least two languages – Java, Perl or Python
    • Strong verbal and written communication skills

    Preferred Qualifications

    • MS in Computer Science, Mathematics, or a related field

    • Expertise in recommender systems and/or machine learning

    • Experience working with extremely large datasets

    • Experience in a startup environment

    • Strong verbal and written communication skills

    Amazon.com is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation.
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