Join Our Team as an Applied Scientist I at Amazon

Empower Your Career in Machine Learning and Fraud Prevention at Amazon

Are you ready to be part of a pioneering team dedicated to innovation in machine learning and statistical analysis? At Amazon, we're committed to enhancing customer satisfaction by actively preventing eCommerce fraud. We are searching for a driven Applied Scientist I to develop cutting-edge algorithms and tackle real-world problems by analyzing vast datasets.

Key Responsibilities

As an Applied Scientist I in the Amazon Buyer Risk Prevention (BRP) Machine Learning group, you will:

• Employ machine learning and statistical methods to design scalable risk management systems.
• Analyze Amazon’s expansive historical business data to identify risk instances and trends.
• Develop, evaluate, and innovate predictive models for risk management.
• Collaborate with software engineering teams to integrate real-time model implementations and feature development.
• Work alongside operations to enhance risk management procedures.
• Create and maintain automated processes for large-scale data analysis, model development, and validation.
• Research and apply novel machine learning and statistical techniques.
• Provide regular, insightful reports to management on business metrics.

Location Flexibility

We are open to candidates based in Seattle, WA, USA or other approved locations.

What You’ll Bring

Basic Qualifications:

• Master's degree in Computer Science, Mathematics, Statistics, Machine Learning, or a related quantitative field.
• Proven experience in programming with Java, C++, Python, or a similar language.
• Proficiency in SQL and familiarity with RDBMS like Oracle or Data Warehouse systems.

Preferred Qualifications:

• Hands-onexperience in developing algorithms using both existing toolkits and custom code.
• Contributions to top-tier peer-reviewed conferences or journals.

Amazon is dedicated to building a diverse and inclusive workforce. We offer competitive salaries, reflective of regional labor costs, and a comprehensive benefits package. Explore more about our benefits, including medical, financial and other perks, at our Employee Benefits page.

Apply Now! Empower your career and help us innovate at scale, ensuring the safety and satisfaction of millions of transactions every day. This appealing opportunity will be available until the position is filled. Apply today through our .

Amazon is an Equal Opportunity Employer. We value and encourage diversity and inclusion within our workforce. For individuals requiring accommodations, please visit our accommodations page.

Ready to redefine the landscape of e-commerce and fraud prevention? Join us at Amazon, where innovation meets impact.