Senior Data Scientist
Tasks
- Break down ambiguous challenges into actionable solutions
- Conduct machine learning experimentation and tracking
- Develop and scale machine learning models for production
- Develop data visualization and executive storytelling
- Evaluate technical trade-offs
- Manage MLOps workflows for model lifecycle
- Mentor engineers and enforce best practices
- Monitor model drift and retrain models
- Optimize model training and scoring using big data platforms
- Resolve issues and drive long term platform evolution
- Translate technical concepts to non-technical audiences
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Apache Spark | Azure Machine Learning | Causal Inference | Data Drift | Data Drift Management | Data Visualization | Databricks | Databricks ML | Deep learning | Drift management | Experimental Design | Google Vertex | Google Vertex AI | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Registry | NumPy | Pandas | PyTorch | Python | Retraining | SQL | Scikit-learn | Statistics | TensorFlow | Vertex AI | Weights and Biases
Education
N/A
Roles
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