Senior Data Scientist
Tasks
- Architect machine learning model solutions
- Collaborate with cross-functional teams to define requirements
- Conduct model diagnostics and error analysis
- Ensure reproducible documentation and version control
- Implement monitoring drift detection and retraining
- Lead end to end predictive model development
- Mentor junior data scientists
- Operationalize models with MLOps pipelines
- Perform model explainability and responsible AI studies
- Run machine learning experimentation cycles
- Translate model outputs into insights for stakeholders
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Amazon SageMaker | Anomaly Detection | Azure | Azure Machine Learning | Azure Machine Learning Studio | Bias Mitigation | Cloud platform | Data Drift | Data Drift Detection | Databricks | Deep learning | Drift Detection | Ensemble Methods | Experiment tracking | Experimental Design | Fairness | Feature Engineering | Google Cloud | Google Cloud Platform | LLMOps | Language Processing | MLOps | Machine Learning Studio | Model Evaluation | Model Explainability | Model Validation | Monitoring | Natural Language | Natural Language Processing | NumPy | Pandas | Probability | PyTorch | Python | Reproducibility | SQL | Scikit-learn | Statistical modeling | TensorFlow | Time Series | Version control | XGBoost
Education
Roles
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