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USA, NJ, Newark$172.4k - $223.4kPosted yesterday

About the role

Applied Scientist role at Audible (Amazon) focusing on scalable ML, DL, and NLP techniques to detect and predict fraudulent activities, build fraud protection systems, and support risk management. Agile environment with collaboration across data science, ML engineering, and business teams to advance fraud detection and mitigation.

Responsibilities

  • Protect Audible’s customers and content creators against AI-generated fraud
  • Develop Amazon-scale data engineering & modeling pipelines
  • Invent novel fraud detection and mitigation solutions using innovative approaches
  • Work closely with data scientists, ML engineers, software engineers, and business teams across the globe
  • Contribute to the growth of the Audible Data Science team by sharing ideas and learning from others

Qualifications

  • MS in Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or related quantitative field with 5+ years 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

Skills

Required:AlgorithmsSQLPythonMachine LearningAWS SageMaker / Batch / Lambda / Step FunctionsSpark / AWS EMR & GlueAgile Software Development

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • Basic Life & AD&D insurance and option for Supplemental life plans
  • EAP, Mental Health Support, Medical Advice Line
  • Flexible Spending Accounts
  • Adoption and Surrogacy Reimbursement coverage
  • 401(k) matching
  • Paid time off
  • Parental leave
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

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