Senior Data Scientist
Tasks
- Automate MLOps deployments
- Build predictive analytics solutions
- Collaborate in agile/scrum teams
- Conduct root cause analysis for data quality issues
- Create validation frameworks
- Deploy machine learning pipelines
- Design machine learning models
- Develop data processing pipelines
- Implement model lifecycle management
- Maintain technical documentation
- Monitor model performance
- Optimize model performance
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | Azure DevOps | Azure Machine Learning | Bias detection | BigQuery | CI/CD | Classification | Clustering | Cross-validation | Data Quality | Data Validation | Databricks | Docker | ETL | Experiment tracking | Fairness analysis | Feature Engineering | Forecasting | Git | GitHub Actions | Google Vertex | Google Vertex AI | Great Expectations | Hadoop | Hyperparameter Tuning | Jenkins | Kubeflow | Language Processing | MLflow | Machine Learning | Model Monitoring | Model Registry | Model versioning | Natural Language | Natural Language Processing | NumPy | Pandas | Predictive Modeling | PyTorch | Python | R | Recommender Systems | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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