Manager, Data Science and Analytics
Tasks
- Build churn prediction models
- Build data pipelines
- Build risk scoring models
- Classify documents
- Create customer segmentation tools
- Define success metrics
- Deploy machine learning models
- Design experiments
- Develop automation workflows
- Develop machine learning models
- Document models for compliance
- Maintain statistical tools
- Monitor model performance
- Participate in peer reviews
- Track model metrics
- Translate business questions into modeling tasks
Perks/Benefits
- N/A
Skills/Tech-stack
Clustering | Data Pipelines | Experimentation | Language Processing | Model Monitoring | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | SQL | Scikit-learn | Statistical modeling | Supervised Learning | TensorFlow
Education
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