Senior Data Scientist, Model Risk & Data Analytics, Internal Audit
Summary
Senior Data Scientist focused on auditing AI/ML models, assessing hallucination risks in LLMs, and ensuring data quality in internal audit processes.
- Analyze structured and unstructured data
- Assess hallucination rates in LLMs
- Audit model lifecycle
- Build data quality checks
- Communicate audit findings and recommendations
- Create analytics dashboards
- Deploy and monitor machine learning models
- Develop ETL data pipelines
- Evaluate model performance and fairness
- Identify model vulnerabilities and risks
- Recommend model remediation strategies
- Support continuous auditing programs