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Research Scientist I

Research Scientist I

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AMZN CAN Fulfillment Svcs, Inc
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Job Description

Job location: 510 West Georgia Street, Vancouver, BC, V6B 0M3

Join a newly formed and rapidly growing team of software engineers and predictive modelers that are building best-in-class tools and large-scale distributed systems to detect and prevent malicious or fraudulent usage of AWS by leveraging the latest in data mining, predictive modeling, and web anti-fraud techniques. You should be someone who wants to build massively scalable, robust software, and wants to see your software thrive in the face of traffic from huge cloud computing services like S3, EC2, CloudFront, VPC, etc. The ideal candidate will have strong distributed systems and web services design and implementation experience, as well as experience working on highly availability production systems.

Salary Range: $81,994 to $127,900/yr, commensurate with experience

Benefits: Amazon provides a full range of benefits for our global employees and their eligible family members. Eligible employees may also receive signing bonuses and Amazon Restricted Stock Units. While they might vary from location to location, Amazon benefits for Canada may include:
  • Health Care
  • Savings Plans
  • Income Protection
  • Paid Time Off
  • Signing Bonuses
  • Employee Stock

Basic Qualifications

  • 4+ years of software development experience and a bachelor's or master's degree (or higher) in computer science or a related discipline
  • Fluency and experience in either C++ or Java (preferably both)
  • Experience architecting, designing and implementing highly scalable web services
  • Experience building and operating mission critical, highly available (24x7) systems
  • Excellent problem solving ability and detailed knowledge of object-oriented design and development
  • Experience acting as a technical lead across all major software lifecycle phases including scoping, requirements, design, implementation, testing, and deployment

Preferred Qualifications

  • Experience developing data mining, machine learning or predictive modeling systems
  • Experience developing payment processing, network security, or web anti-fraud systems