Data Scientist
Tasks
- Build pipelines for data extraction and processing
- Collaborate on model deployment and recalibration
- Collaborate with Model Risk Management
- Develop machine learning models
- Explore in house and external data sources
- Generate documentation templates
- Identify opportunities for advanced modeling
- Implement statistical models
- Improve model performance
- Monitor models with dashboards
- Present model performance insights
- Track key performance indicators
- Train models and select features
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Boosting | Classification | Clustering | Decision Trees | Deep learning | Ensemble Methods | GCP | Hive | K-Nearest Neighbors | K-nearest | Keras | LightGBM | Machine Learning | Nearest neighbors | Neural Networks | NoSQL | Novelty Detection | Outlier Detection | PyTorch | Python | Regression | SQL | SageMaker | Scikit-learn | Snowflake | Statistical modeling | Supervised Learning | Support Vector Machines | TensorFlow | Unsupervised Learning | Vector machines | XGBoost
Education
Roles
Regions
Countries
States
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