Data Scientist

Tasks

• Analyze large datasets for patterns and trends
• Apply data mining techniques
• Build and maintain predictive models
• Conduct statistical analysis
• Create feature engineering
• Design data pipelines and ETL processes
• Develop and deploy machine learning models
• Perform data preprocessing and cleansing
• Present insights using visualizations and reports
• Support model deployment and production integration
• Translate business needs into data science solutions

Perks/Benefits

• N/A

Skills/Tech-stack

Churn modeling | Credit Risk | Data Architecture | Data Cleansing | Data Mining | Data Pipelines | Data Preprocessing | Data Visualization | ETL | Feature Engineering | Machine Learning | Power BI | Predictive Analytics | Propensity Modeling | Python | R | SAS | Statistical Analysis | Tableau