[Job-29268] Data & Analytics Engineer, Colombia
Tasks
- Apply SHAP to explain predictions
- Build classical machine learning models
- Build data ingestion and processing pipelines
- Collaborate with stakeholders on business rules
- Conduct exploratory data analysis
- Create dashboards and visualizations
- Develop feature engineering for time series forecasting
- Document model performance results
- Evaluate model performance
- Extract and transform data from relational databases
- Implement model explainability
- Perform statistical profiling
- Translate business rules into feature engineering pipelines
Perks/Benefits
- CI T University
- Colombian holidays
- Life insurance
- Maternity leave
- Meal voucher
- Mobile services subsidy
- Paid vacations
- Parental leave
- Premium healthcare
- Sick pay
Skills/Tech-stack
AWS | Amazon QuickSight | Amazon SageMaker | Classical machine learning | Data Analysis | Data Ingestion | Data Modeling | Data Processing | Data Processing Pipelines | Data Visualization | Data Wrangling | Dimensional Modeling | Exploratory Data Analysis | Feature Engineering | MAE | MAPE | Machine Learning | Machine learning explainability | Matplotlib | Model Evaluation | NumPy | Pandas | Processing pipelines | Python | RMSE | Regression | SHAP | SQL | Scikit-learn | Seaborn | Series forecasting | Statistical profiling | Time Series | Time Series Forecasting
Education
N/A
Regions
Countries
States
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