Senior Data Scientist
Tasks
- Architect and implement machine learning models
- Conduct model diagnostics and error analysis
- Document code and manage version control
- Lead end to end predictive model development
- Mentor junior data scientists
- Monitor drift and retrain models
- Operationalize models with MLOps pipelines
- Perform explainability and fairness evaluation
- Run ML experimentation cycles
- Translate model outputs into actionable insights
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Bias Mitigation | Deep learning | Drift Detection | Ensemble learning | Experiment tracking | Experimental Design | Explainability | Fairness | Feature Engineering | Language Processing | MLOps | Machine Learning | Model Validation | Model retraining | Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Probability | PyTorch | Python | Reproducibility | SQL | Scikit-learn | Statistical modeling | TensorFlow | Time Series | Version control | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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