Join Our Team as an Applied Scientist in Buyer Abuse Prevention at Amazon

At Amazon.com, we are dedicated to becoming the safest and most trusted marketplace on the web by protecting our customers against risks. The Buyer Risk Prevention (BRP) team is at the forefront of this mission, enhancing customer trust and ensuring secure financial transactions across all Amazon platforms. We’re currently seeking an innovative Applied Scientist for our Buyer Abuse team, focused on fusing advanced analytics with investigative insights to strengthen our fraud prevention mechanisms.

Key Responsibilities

As an Applied Scientist in BRP, you will tackle complex modeling challenges, uncover deep insights, and develop state-of-the-art risk algorithms to detect and mitigate instances of abuse. Your efforts will directly influence Amazon’s operational efficiency by:

• Developing and deploying machine learning models and algorithms.
• Building prototypes and exploring new solutions.
• Designing experiments to validate hypotheses and sharing findings with Product and Technical teams.
• Managing the impact of ML solutions on both Amazon’s resources and customer experience.
• Creating efficient data querying infrastructure for varied applications.
• Working closely with multidisciplinary teams to refine automation processes.
• Navigating Amazon’s vast data resources to drive your analyses.
• Researching and applying novel ML and statistical techniques.
• Maintaining detailed documentation and presenting your results in a clear and compelling manner.

For more details on our innovative projects, visit .

Work Location

We are flexible with work location, with options to join us in San Diego, CA or Seattle, WA.

Qualifications

Basic Qualifications

• Master’s degree in Computer Science, Mathematics, Statistics, Machine Learning, or another quantitative field.
• Proficiency in programming languages such as Java, C++, or Python.

Preferred Qualifications

• Hands-on experience in algorithm implementation and ML model development.
• Publication record in top-tier peer-reviewed conferences or journals.
• Advanced degree in a relevant field.

Why Amazon?

Amazon is deeply committed to diversity and inclusion. We strive to continue building a team that represents a variety of backgrounds, perspectives, and skills. We offer competitive salaries, inclusive benefits, and opportunities for growth and advancement. For specific details on the compensation and benefits for this role, please visit our .

This position is available until filled. Interested candidates are encouraged to apply early through our careers page.

Amazon is an equal opportunity employer, and we value your passion to innovate and be part of a team that makes a difference in the lives of millions.

Apply today and help us build the future!