Junior Data Scientist
Tasks
- Develop machine learning models
- Evaluate model performance
- Implement reproducible machine learning pipelines
- Monitor models in production
- Perform data exploration and feature engineering
- Present results to technical and non-technical audiences
- Prototype modern AI using deep learning and LLMs
- Support model explainability and governance
- Validate models with cross validation and diagnostics
Perks/Benefits
- Hybrid work
- Language lessons
- Life insurance
- Private medical insurance
- Smart office pack
- Training and career development
Skills/Tech-stack
Anomaly Detection | Bias Variance | Bias Variance Diagnostics | CI/CD | Cross-validation | Deep learning | Docker | Feature Engineering | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Model Evaluation | Model Monitoring | Model calibration | Natural Language | Natural Language Processing | NumPy | Numerical Methods | Optimization | Pandas | Probability | PyTorch | Python | Robustness Testing | SHAP | SQL | Scikit-learn | Sensitivity Analysis | Statistics | TensorFlow | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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