Senior Data Scientist
Tasks
- Build forecasting solutions
- Build recommendation systems
- Collaborate with Agile scrum teams
- Design machine learning models
- Develop predictive analytics solutions
- Implement data processing pipelines
- Implement model monitoring and retraining
- Maintain production analytics documentation
- Manage machine learning lifecycle with model registry
- Optimize model performance and inference latency
- Perform data quality analysis and root cause analysis
- Train validate deploy monitor machine learning models
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure DevOps | Azure Machine Learning | BigQuery | CI/CD | Cross-validation | Databricks | Docker | Experiment tracking | Feature Engineering | Git | GitHub Actions | Google Vertex | Google Vertex AI | Great Expectations | Hadoop | Hyperparameter Tuning | Jenkins | Kubeflow | MLOps | MLflow | Machine Learning | Model Drift | Model Monitoring | Model Registry | Model versioning | NumPy | Pandas | PyTorch | Python | R | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Vertex AI
Education
Roles
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