Amazon
Applied Scientist
$172K–$223K
Newark, NJ · Full-time · Posted Oct 21, 2026
- Experience
- MS plus 5 years of relevant experience; or PhD.
- Education
- MS in Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research, or a related quantitative field; or PhD.
About the job
Develops scalable machine-learning systems and fraud defenses to detect and predict fraudulent activity and protect Audible customers, creators, and company assets.
What you'll do
- Build data engineering and modeling pipelines and create fraud detection and mitigation solutions.
- Analyze transaction patterns, detect anomalies, and develop predictive models to identify potential fraud.
- Collaborate with scientists, engineers, and business teams across Amazon on research, design, and model development.
What they ask for
- Experience creating novel algorithms and advancing the state of the art.
- MS in a listed or related quantitative field plus 5 years of relevant experience, or PhD.
- Fluency in SQL and Python.
- Experience with machine-learning pipeline orchestration on AWS or similar cloud platforms, big-data engineering with Spark/AWS EMR & Glue, and Agile software development.
Nice to have
- Domain knowledge of comparable digital or retail products.
- Fluency in Java; experience developing fraud models or knowledge of AI/ML-powered fraud detection.
Pay
172,400.00 - 223,400.00 USD annually (base salary)
Tools
SQL, Python, AWS, SageMaker, Batch, Lambda, Step Functions, Spark/AWS EMR & Glue
AI focus
Uses machine learning, deep learning, and NLP to detect and predict fraud, including AI-generated fraud, and develop fraud defenses.
Model-written summary · the original posting is authoritative