Data Scientist 2
Tasks
- Apply data mining with unsupervised learning
- Collaborate on model validation and auditing
- Complete remediation for model risk management
- Conduct exploratory data analysis
- Conduct use case testing for new tools and techniques
- Extract and sample data
- Maintain model governance documentation
- Perform data integrity checks
- Perform feature engineering
- Preprocess missing values and outliers
- Present insights and business recommendations
- Research data science industry trends
- Support model implementation and monitoring
- Train and tune classification and regression models
- Validate and diagnose model performance
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Bagging | Boosting | Classification | Cloud Computing | Data Mining | Data Visualization | Databricks | Decision Trees | Feature Engineering | Git | Gradient boosting | Machine Learning | Model Evaluation | Model Validation | Neural Networks | PowerPoint | Predictive Modeling | Python | Random Forest | Regression | SQL | Spark SQL | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
Roles
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