Senior Applied Scientist, FinAuto

About the role

The FinAuto TFAW(theft, fraud, abuse, waste) team is part of FGBS Org and focuses on building applications utilizing machine learning models to identify and prevent theft, fraud, abusive and wasteful(TFAW) financial transactions across Amazon.

What you'll do

• Use machine learning and analytical techniques to create scalable solutions for business problems
• Design, development, evaluate and deploy innovative and highly scalable models for predictive learning
• Research and implement novel machine learning and statistical approaches
• Work closely with software engineering teams to drive real-time model implementations and new feature creations
• Work closely with business owners and operations staff to optimize various business operations

What you need

• 7–13 yrs of experience
• Machine learning
• Python
• Deep learning
• C++
• Java
• PhD

Good to have

• Scikit-learn
• Spark
• R
• TensorFlow
• NumPy
• Hadoop