Junior Data Scientist
Tasks
- Apply model explainability and governance
- Conduct model validation and robustness testing
- Deploy and monitor models
- Develop machine learning and AI models
- Evaluate model performance
- Implement reproducible ML pipelines
- Perform data exploration and feature engineering
- Present results to technical and non-technical stakeholders
- Prototype and experiment with modern AI techniques
Perks/Benefits
- Hybrid work
- Language lessons
- Life insurance
- Private medical insurance
- Training and career development
Skills/Tech-stack
AUC | AWS | Anomaly Detection | Apache Spark | Azure | CI/CD | Calibration | Cross-validation | Databricks | Deep learning | Docker | Experimentation | Feature Engineering | GCP | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | NumPy | Numerical Methods | Optimization | Pandas | Precisión | Probability | PyTorch | Python | RMSE | Recall | Recommender Systems | SHAP | SQL | Scikit-learn | Series forecasting | Statistics | TensorFlow | Time Series | Time Series Forecasting
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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