Senior Data Scientist
Tasks
- Build data processing pipelines
- Collaborate in Agile/Scrum
- Contribute to data architecture reviews
- Create validation frameworks
- Deploy machine learning pipelines
- Design machine learning models
- Develop predictive analytics solutions
- Identify data quality issues
- Implement MLOps deployment automation
- Implement model lifecycle management
- Maintain technical documentation
- Monitor model performance
- Optimize model performance
Perks/Benefits
- N/A
Skills/Tech-stack
Azure DevOps | Azure Machine Learning | BigQuery | CI/CD | Cross-validation | Data Governance | Data Visualization | Databricks | Docker | ETL | Experiment tracking | Feature Store | Git | GitHub Actions | Great Expectations | Hadoop | Hyperparameter Tuning | Jenkins | Kubeflow | Kubernetes | MLflow | Machine Learning | Model Registry | NumPy | Pandas | PyTorch | Python | R | SQL | SageMaker | Scikit-learn | Snowflake | Spark | TensorFlow | Unit Testing | Vertex AI
Education
Roles
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