Fraud-Detection ML Scientist

Amazon Science; New Jersey; On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Audible is seeking an Applied Scientist to design and deploy scalable ML/DL/NLP solutions that detect and prevent fraud across transactions and content protection workflows. You’ll partner with data scientists, engineers, and business teams worldwide to translate complex fraud signals into actionable risk insights.

The role emphasizes building end-to-end fraud protection systems in an agile environment, leveraging AWS tools and cutting-edge ML techniques to safeguard customers and content

Qualifications

• MS in Computer Science, Statistics, Data Science, Economics, Applied Math or related field +5 yrs experience; or PhD.
• Fluent in SQL and Python.
• Depth and breadth in novel ML technologies and fraud detection methods.

Responsibilities

• Develop fraud detection and mitigation models and pipelines.
• Build scalable ML/DL/NLP solutions to detect fraud patterns.
• Collaborate with data scientists, engineers, and business teams globally.
• Translate complex fraud signals into actionable insights for risk management.

Skills

SQL

Python

Agile software development

Java

Education

MS in Computer Science/Statistics/Data Science or related field

PhD

Tools

SageMaker

Batch

Lambda

Step Functions

Spark

EMR

Glue

Job description

Audible is seeking an Applied Scientist to design and deploy scalable ML/DL/NLP solutions that detect and prevent fraud across transactions and content protection workflows. You’ll partner with data scientists, engineers, and business teams worldwide to translate complex fraud signals into actionable risk insights.

The role emphasizes building end-to-end fraud protection systems in an agile environment, leveraging AWS tools and cutting-edge ML techniques to safeguard customers and content