Data Scientist 2
Tasks
- Apply model risk management controls
- Archive model data scripts and results
- Collaborate on model validation and auditing
- Conduct exploratory data analysis
- Create features with feature engineering
- Create model governance documentation
- Extract and sample data
- Implement and monitor predictive solutions
- Perform data integrity checks
- Perform data mining with unsupervised learning
- Preprocess data missing values and outliers
- Present results and business impact
- Research data science industry trends
- Test new tools and techniques
- Train tune classification and regression models
- Translate insights into business recommendations
- Validate and diagnose model issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Spark | Azure | Classification | Clustering | Data Analysis | Data Mining | Data Visualization | Data reporting | Databricks | Decision Trees | Drift Detection | Exploratory Data Analysis | Factor Analysis | Feature Engineering | Generalized Linear Models | Git | Gradient boosting | Linear Models | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Validation | Model retraining | Neural Networks | Pivot Tables | PowerPoint | Predictive Modeling | Python | Random Forest | Regression | SQL | Spark SQL | Statistical Analysis | Statistical concepts | Unsupervised Learning | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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