Job Details

Join to apply for the Applied Scientist, Account Integrity role at Amazon

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-art algorithms to solve real world problems? If yes, then you may be a great fit to join the Amazon Account Integrity team.

The Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our focus is protecting customer trust while fairly balancing risk and accuracy — evolving enforcement policies, iterating risk models, and using high-judgement decision-making where automation isn't applicable.

Responsibilities

• Use statistical and machine learning techniques and Generative AI 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 highly innovative models for risk management
• Collaborate with software engineering teams to drive real-time model implementations and new feature creation
• Work 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 regularly
• Research and implement novel machine learning and statistical approaches

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• 3+ years of hands-on predictive modeling and large data analysis experience

Preferred Qualifications

• A PhD in Computer Science, Machine Learning, Statistics or in a highly quantitative field
• 3+ years of industry experience in predictive modeling and large data analysis
• Strong skills with Python/Spark (or similar scripting language), Java/C++ and SQL
• Strong problem solving and dive deep ability
• Strong communication, writing and data presentation skills

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.

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

Company - Amazon.com Services LLC

Job ID: A3078049