Applied Scientist: Fraud Risk & ML Systems

Amazon Inc.; San Diego, Northern (CA, KY); Hybrid; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is hiring a Machine Learning Scientist to build scalable risk management systems for Buyer Risk Prevention. You will analyze terabytes of data, design innovative models, and collaborate with software and operations teams to implement real-time risk solutions.

Requirements include 3+ years building models for business applications and advanced degrees in CS/ML. Proficiency in Java, C++, and Python is expected.

Qualifications

• 3+ years of building models for business applications.
• PhD, or Master's degree with 4+ years in CS, CE, ML or related field.
• Experience programming in Java, C++, Python.

Responsibilities

• Use machine learning and statistical techniques to create scalable risk management systems
• Learning and understanding 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
• Working closely with software engineering teams to drive real-time model implementations and new feature creations
• Working closely with operations staff to optimize risk management operations
• Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Tracking general business activity and providing clear, compelling management reporting on a regular basis
• Research and implement novel machine learning and statistical approaches

Skills

Machine Learning

Data Analysis

Education

Master's degree in CS/CE/ML or related field

PhD in CS/ML or related field

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is hiring a Machine Learning Scientist to build scalable risk management systems for Buyer Risk Prevention. You will analyze terabytes of data, design innovative models, and collaborate with software and operations teams to implement real-time risk solutions.

Requirements include 3+ years building models for business applications and advanced degrees in CS/ML. Proficiency in Java, C++, and Python is expected.