Amazon

Sr. Principal Applied Scientist

3+ months agoSan Diego, CA

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 automatically mitigating risk and providing support solutions? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customer interactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-art algorithms to solve real world problems? Do you like to build end-to-end business solutions 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 Machine Learning Accelerator team in the Amazon Customer Trust and Partner Support group.

Major responsibilities

  • Use statistical and machine learning techniques to create scalable risk management and support systems.
  • Analyze and understand 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.
  • Work closely with teams of scientists and software engineers to drive real-time model implementations and new feature creations.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
  • 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
  • 6+ years of hands-on experience in predictive modeling and large data analysis
  • Strong ML 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
  • 10+ years of industry experience in predictive modeling and analysis
  • Superior ML breadth and depth
  • Expert skills with SQL
  • Expert skills with Spark/Python/Perl (or similar)
  • Superior problem solving ability

Client-provided location(s): San Diego, CA, USA
Job ID: Amazon-1261427

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