Junior Data Scientist
Tasks
- Build client retention churn prevention models
- Conduct exploratory data analysis
- Create advisor and prospect prioritization scoring frameworks
- Deploy machine learning models
- Design A B tests and control frameworks
- Design cross sell and wallet share opportunity models
- Develop asset consolidation predictive models
- Develop product advisor matching models
- Engineer feature pipelines
- Implement end to end model implementations for enterprise clients
- Monitor model performance
- Perform feature engineering
- Train and validate machine learning models
- Translate model outputs into actionable intelligence
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Amazon Redshift | Amazon S3 | B testing | Data Analysis | Exploratory Data Analysis | Feature Engineering | Feature Pipelines | Machine Learning | Model Monitoring | Model Validation | Python | SQL | Snowflake
Education
N/A
Roles
Regions
Countries
States
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