Job Details

Overview

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 protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customers every day? 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 Account Integrity team.

The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‑judgement decision‑making where we cannot apply automation.

Responsibilities

• Use statistical and machine learning techniques to create scalable risk management 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 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, validation and implementation
• Track general business activity and provide clear, compelling management reporting on a regular basis
• Research and implement novel machine learning and statistical approaches

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

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

About the role and compensation

Base pay range: $129,400.00/yr - $212,800.00/yr

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. Equity, sign-on payments, and other benefits may be provided as part of a total compensation package.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit the Amazon accommodations page for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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Job details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industries: Technology, Information and Internet

Applicants should apply via our internal or external career site. This position will remain posted until filled.