Data Scientist
Tasks
- Analyze customer behavior
- Analyze fraud patterns
- Build prototypes
- Build repeatable analyses
- Calibrate model scores
- Communicate findings and recommendations
- Define evaluation metrics
- Design machine learning experiments
- Develop internal tools
- Evaluate model outcomes
- Investigate score distribution
- Perform error analysis
- Run experiments on features and datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Data Analysis | Data Science | Distribution analysis | Error Analysis | Experiment design | Fraud Detection | Jupyter | Machine Learning | Model calibration | Pandas | PySpark | PyTorch | Python | Risk Analysis | Scikit-learn | Score Distribution Analysis | TensorFlow
Education
Roles
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