Fraud-Detection Applied Scientist (ML/NLP)

Amazon Jobs; Newark (NJ); 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 employ scalable ML/DL/NLP techniques to detect fraud, build predictive models, and strengthen fraud protection across Audible’s systems. You will contribute to risk management, design end-to-end ML pipelines, and collaborate with global teams in an agile lifecycle from research to deployment.

The role requires a strong foundation in ML, data engineering, and fraud detection, with leadership in model development and an emphasis on scalable solutions for

Qualifications

• MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD
• Fluent in SQL, Python
• Depth and breadth in novel machine learning technologies
• Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
• Big Data Engineering with Spark/AWS EMR & Glue
• Experience with Agile Software Development- Domain knowledge of comparable products (digital, retail)
• Fluency in Java
• Experience in developing and enhancing fraud detection and mitigation models and techniques
• Knowledge of the latest advancements in AI/ML-powered fraud detection

Responsibilities

• Protect Audible’s customers and content creators against the onslaught of AI-generated fraud
• Develop Amazon-scale data engineering & modeling pipelines.
• Imagine and invent before the business asks, and create novel fraud detection and mitigation solutions using innovative approaches.
• Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon.
• Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from others.

Skills

SQL

Python

Java

Fraud detection knowledge

Agile software development

Cross-functional collaboration

Education

MS in Computer Science/Statistics/Data Science/Economics/Applied Math or PhD

Tools

AWS SageMaker

AWS Batch

AWS Lambda

AWS Step Functions

Spark

AWS EMR

AWS Glue

Job description

Audible is seeking an Applied Scientist to employ scalable ML/DL/NLP techniques to detect fraud, build predictive models, and strengthen fraud protection across Audible’s systems. You will contribute to risk management, design end-to-end ML pipelines, and collaborate with global teams in an agile lifecycle from research to deployment.

The role requires a strong foundation in ML, data engineering, and fraud detection, with leadership in model development and an emphasis on scalable solutions for