Protecting Amazon customers from hackers and bad actors by building advanced algorithmic systems that help manage the trust and safety of millions of customers every day.
Requirements
- Experience programming in Java, C++, Python or related language
- 3+ years of hands-on predictive modeling and large data analysis experience
- Strong skills with Python/Spark (or similar scripting language), Java/C++ and SQL
- Strong problem solving and dive deep ability
Responsibilities
- Use statistical and machine learning techniques and Generative AI to create scalable risk management systems
- Analyzing 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
- Research and implement novel machine learning and statistical approaches
Other
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- A PhD in Computer Science, Machine Learning, Statistics or in a highly quantitative field
- Strong communication, writing and data presentation skills
- work safely and cooperatively with other employees, supervisors, and staff
- adhere to standards of excellence despite stressful conditions
