Amazon Data Scientist II Payment Risk Mining 

United States, California, San Diego 

280400422

Key job responsibilities
• Build scalable machine learning solutions to capture fraudulent activity missed by existing systems
• Perform in-depth data analysis to uncover fraud patterns and trends
• Collaborate with cross-functional teams to gather requirements and understand business context
• Design and implement robust fraud detection models using advanced techniques
• Communicate complex insights and recommendations to leadership through clear written and verbal communication
• Stay up-to-date with the latest advancements in machine learning and fraud detection methodologies
A day in the life
1. Identify gaps in business domains relying on manual processes and formulate data science problems to address them.
2. Gather in-depth domain knowledge from subject matter experts, data sources, and business partners to understand the underlying issues.
3. Create comprehensive implementation plans and own the end-to-end solution delivery, from problem framing to model deployment and monitoring.5. Socialize your solutions, communicating insights to internal as well as external partners.
6. Mentor junior team members on applying data science methodologies to solve problems

- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment