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Applied Scientist I, Buyer Risk Prevention

Amazon

Join Amazon's Buyer Risk Prevention Team

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? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group.

Key Responsibilities

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

Basic Qualifications

  • Master's degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.
  • Experience programming in Java, C++, Python, or related language.
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Preferred Qualifications

  • Experience implementing algorithms using both toolkits and self-developed code.
  • Publications at top-tier peer-reviewed conferences or journals.

About Amazon

Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit our careers site.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Benefits
Extracted with AI

  • Medical insurance
  • Financial benefits
  • Equity
  • Sign-on payments

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