Data Science Analyst

Analysis & Research

• Conduct ad hoc exploratory data analysis to identify fraud patterns and trends, with focus on new account fraud and account takeovers 
• Integrate and evaluate third-party data sources to test and enhance the efficacy of existing fraud detection solutions 
• Perform retrospective analyses and back-testing to demonstrate solution value to prospective clients 
• Execute statistical studies to support product development and optimization decisions

Model Support & Validation

• Collaborate with senior data scientists to support predictive model development and implementation 
• Conduct quality assurance testing of machine learning algorithms and key data attributes 
• Validate model performance and stability across different data scenarios 
• Stay current on emerging data science techniques, particularly in AI/ML for fraud detection 

Communication & Reporting 

• Define and deliver analytical reports that translate complex findings into actionable business insights 
• Present results to both technical and non-technical stakeholders 
• Support client demonstrations and proof-of-concept initiatives 
• Document analytical methodologies and findings