Senior Data Scientist, Model Risk & Data Analytics, Internal Audit
Tasks
- Assess confidence scoring and stability
- Automate continuous auditing with risk indicators
- Build analytics dashboards
- Build data warehouses
- Communicate risk findings and recommendations
- Conduct model lifecycle audits
- Define model performance metrics
- Develop ETL data pipelines
- Develop data quality checks
- Ensure model compliance and quality
- Identify model vulnerabilities and bias
- Measure hallucination rates in LLMs
- Provide audit analytics support
- Quantify bias and fairness
- Recommend remediation strategies
- Surface insights from structured and unstructured data
- Train machine learning and AI models
- Validate model performance and fairness
Perks/Benefits
Skills/Tech-stack
Accuracy | Artificial Intelligence | Bias detection | Calibration | Confidence scoring | Dashboard Development | Data Quality | Data Warehousing | Data analytics | ETL | F1-score | Fairness metrics | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Precisión | Python | Recall | Robustness | SQL | Statistical validation
Education
N/A
Roles
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