Data Scientist
Tasks
- Build credit risk scorecards and models
- Build data visualizations
- Build training pipelines for production
- Debug data pipelines and model behavior
- Determine infrastructure requirements for model deployment
- Develop dashboards for model impact tracking
- Develop data science use case roadmap
- Develop machine learning classifiers
- Identify data opportunities
- Integrate new datasets with engineering team
- Mine and analyze company data
- Process, clean, and verify data integrity
- Provide QA and design inputs
- Run data exploration
- Support online model deployment and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
Cassandra | Component analysis | D3 js | Data Visualization | Dimensionality Reduction | Feature Engineering | Gradient boosting | HBase | Hadoop | Hive | Keras | Logistic Regression | Machine Learning | Map-Reduce | MongoDB | NoSQL | NumPy | Pandas | Principal Component Analysis | Python | Random Forest | Regression | SQL | Scikit-learn | Spark | TensorFlow
Education
Roles
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