Sr. Data Scientist
Tasks
- Analyze large datasets
- Build credit risk models
- Build propensity models
- Create reporting for technical and non technical audiences
- Design machine learning models
- Develop analytical solutions
- Develop performance dashboards
- Implement customer segmentation
- Implement fraud detection
- Optimize banking performance
- Present model performance
- Stay updated with data science advancements
Perks/Benefits
- N/A
Skills/Tech-stack
Big Data | Classification | Cloud Computing | Clustering | Credit Risk | Credit risk modeling | Customer Segmentation | Data Analysis | Data Manipulation | Fraud Detection | Machine Learning | NumPy | Pandas | Performance dashboards | Propensity Modeling | Python | R | Regression | Risk Modeling | SQL | Scikit-learn
Education
N/A
Roles
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