Data Scientist
Tasks
- Acquire profile and integrate structured and unstructured data
- Analyze business problems and stakeholder requirements
- Build reports, dashboards, and visualizations
- Deploy operationalize models and data pipelines
- Develop train and compare machine learning models
- Document methodology assumptions and model performance
- Monitor model health and data drift
- Perform exploratory data analysis and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clustering | Cross-validation | Data Analysis | Data Drift | Data Preprocessing | Data Wrangling | Data drift monitoring | Databricks | Drift monitoring | Error Analysis | Exploratory Data Analysis | Feature Engineering | Hyperparameter Tuning | Machine Learning | Model Evaluation | Model Monitoring | Power BI | PySpark | Python | Regression | SQL | Spark | Tableau | Time Series | Train Validation Test | Train validation test split | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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