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Work hard. Have fun. Make history. TRMS Amazon jobs
About the team…
Fraud prevention at Amazon is a 24x7 operation, where stopping illegitimate purchase
attempts, while eliminating negative impact on good customers, is of the essence. TRMS
Analytics team is instrumental in developing and maintaining models that help identify any kind
of buyer fraud/fraudulent activity irrespective of the geography, payment types and payment
systems.
About the role…
Do you want to join an innovative team of scientists who use machine learning and statistical
techniques to keep Amazon the safest and most trusted place to shop online? 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, Operational research or in a highly quantitative
field
 5+ years of hands-on experience in predictive modeling and analysis
 5+ years SAS, R or Matlab experience
Preferred Qualifications
 A PhD in CS, machine learning, Statistics, Operational research
 5+ years of industry experience in predictive modeling and analysis
 Strong communication and data presentation skills
 Strong problem solving ability
 Good skills with SQL
 Good skills with Perl (or similar scripting language), Java or C++
Interested? Contact: Shivani Singh | Sr. Recruiter – TRMS Recruiting | Amazon E: sshivani@amazon.com P:
206.435.6889

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Research Scientist job

  • 1. Work hard. Have fun. Make history. TRMS Amazon jobs About the team… Fraud prevention at Amazon is a 24x7 operation, where stopping illegitimate purchase attempts, while eliminating negative impact on good customers, is of the essence. TRMS Analytics team is instrumental in developing and maintaining models that help identify any kind of buyer fraud/fraudulent activity irrespective of the geography, payment types and payment systems. About the role… Do you want to join an innovative team of scientists who use machine learning and statistical techniques to keep Amazon the safest and most trusted place to shop online? 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
  • 2.  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, Operational research or in a highly quantitative field  5+ years of hands-on experience in predictive modeling and analysis  5+ years SAS, R or Matlab experience Preferred Qualifications  A PhD in CS, machine learning, Statistics, Operational research  5+ years of industry experience in predictive modeling and analysis  Strong communication and data presentation skills  Strong problem solving ability  Good skills with SQL  Good skills with Perl (or similar scripting language), Java or C++ Interested? Contact: Shivani Singh | Sr. Recruiter – TRMS Recruiting | Amazon E: sshivani@amazon.com P: 206.435.6889