Applied Scientist

Published
June 16, 2019
Location
Seattle, WA
Job Type

Description

Description

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and create state-of-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Transaction Risk Management Systems group.

Major responsibilities

  • Use statistical and machine learning techniques to create scalable risk management systems
  • Analyzing and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
  • Design, development and evaluation of highly innovative models for risk management
  • Working closely with software engineering teams to drive real-time model implementations and new feature creations
  • Working closely with operations staff to optimize risk management operations,
  • Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Tracking general business activity and providing clear, compelling management reporting on a regular basis
  • Research and implement novel machine learning and statistical approaches

Basic Qualifications

  • A MS in CS, Machine Learning, Statistics, Operations Research or in a highly quantitative field
  • 4+ years of hands-on experience in predictive modeling and large data analysis
  • Strong Machine Learning breadth and depth
  • Strong skills with SQL
  • Strong skills with Spark/Python/Perl (or similar)
  • Communication and data presentation skills
  • Strong problem solving ability

Preferred Qualifications

  • A PhD in CS, Machine Learning, Statistics, Operations Research
  • 6+ years of industry experience in predictive modeling and analysis
  • Superior Machine Learning breadth and depth
  • Expert skills with SQL
  • Expert skills with Spark/Python/Perl (or similar)
  • Superior problem solving ability

Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Company Description

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

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