Description

Key Skills: Machine Learning, Statistical Analysis, Data Mining, Python, Predictive Modeling, Algorithm Development, Data Science, Model Deployment, Big Data Analytics, Statistical Techniques

Good to Have Skills: Experience with Amazon's business data, real-time model implementations, automated processes for large scale data analyses, model validation and maintenance, cross-functional collaboration, mentoring experience, software engineering collaboration, business operations optimization, fraud detection systems, and financial transaction analysis.

Roles & Responsibilities:

• Use machine learning and analytical techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
• Design, develop, evaluate and deploy innovative and highly scalable models for predictive learning
• Research and implement novel machine learning and statistical approaches for fraud detection
• 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
• Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Mentor other scientists and engineers in the use of ML techniques and drive implementation of complex models
• Work proactively with engineering teams and product managers to evangelize new algorithms
• Lead projects focused on identifying and preventing theft, fraud, abusive and wasteful financial transactions

Key Skills

Education

Any Graduate