Data Scientist
Bogotá, D.c., Colômbia
R
COP 60000K-74400K (estimate) Mid-level Full Time
Tasks
- Analyze large datasets for patterns and trends
- Apply experimentation and model versioning best practices
- Build and evaluate statistical models
- Collaborate with data engineers on data availability and quality
- Develop forecasting and segmentation models
- Develop machine learning models for prediction classification and regression
- Document hypotheses methods results and conclusions
- Industrialize and evolve analytical models
- Measure model performance accuracy and stability
- Perform data exploration preparation transformation and enrichment
- Perform feature engineering and variable selection
- Present findings and recommendations to stakeholders
- Transform business information into models and insights
- Translate business problems into analytical questions
- Utilize Lakehouse OneLake for data storage
- Work with Microsoft Fabric Data Science notebooks
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Machine Learning | Clustering | Data Lakehouse | Data Science | Delta Lake | Fabric Data Science | Feature Engineering | Forecasting | Generative AI | Git | MLOps | MLflow | Machine Learning | Microsoft Fabric | Microsoft Fabric Data Science | NumPy | OneLake | Pandas | Power BI | PySpark | Python | SQL | Scikit-learn | Segmentations | Spark | Time Series
Education
N/A
Regions
Countries
States
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