Data Scientist
Madrid HQ (KES51610), Spain
EUR 64K-81K (estimate) Entry-level Full Time
Tasks
- Build machine learning and predictive models
- Conduct feature engineering and performance optimization
- Document experiments for reproducibility and traceability
- Evaluate and validate models using metrics and cross validation
- Handle data preprocessing including missing values and outliers
- Perform data exploration and exploratory analysis
- Stay current with new algorithms and data science best practices
- Support model deployment and monitoring in MLOps
- Track experiments and manage model versioning
- Train and validate classification regression and segmentation models
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | Cross-validation | DVC | Data Pipelines | Data Preprocessing | Data Visualization | Databricks | Deep learning | ETL | F1-score | Feature Engineering | Google Vertex | Google Vertex AI | Imbalanced Data | LightGBM | MLOps | MLflow | Machine Learning | Matplotlib | Missing data | Model Evaluation | Neural Networks | NumPy | Outlier Detection | Pandas | Precisión | PyTorch | Python | RMSE | ROC-AUC | Recall | SQL | Scikit-learn | TensorFlow | Vertex AI | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Associate | Associate Data Scientist | Data Scientist | Scientist
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