Applied Scientist, Fraud Risk ML & Real-Time Systems

Amazon; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Buyer Risk Prevention (BRP) Machine Learning group seeks a talented scientist to build advanced algorithmic systems that help manage safety of millions of transactions daily. You will analyze terabytes of data and develop state-of-the-art models to detect and prevent fraud while driving business impact.

You will own end-to-end business problems, collaborate with software engineering and operations teams, deploy real-time models, and contribute to scalable processes for data analyses,

Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

• Use machine learning and statistical techniques to create scalable risk management systems
• Learning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends
• Design, development and evaluation of highly innovative models for risk management
• Working closely with software engineering teams to drive real-time model implementations and new feature creations
• Working closely with operations staff to optimize risk management operations
• Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Tracking general business activity and providing clear, compelling management reporting on a regular basis
• Research and implement novel machine learning and statistical approaches

Skills

Machine learning

Statistical modeling

Problem solving

Education

PhD or MS with 4+ years in CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Buyer Risk Prevention (BRP) Machine Learning group seeks a talented scientist to build advanced algorithmic systems that help manage safety of millions of transactions daily. You will analyze terabytes of data and develop state-of-the-art models to detect and prevent fraud while driving business impact.

You will own end-to-end business problems, collaborate with software engineering and operations teams, deploy real-time models, and contribute to scalable processes for data analyses,