Senior Data Scientist
Tasks
- Build production data solutions
- Conduct statistical analysis and experimentation
- Deploy and monitor machine learning models
- Develop machine learning models for production
- Implement MLOps workflows
- Manage model drift and retraining
- Optimize model training and scoring with big data platforms
- Perform causal inference
- Scale machine learning models
- Track machine learning experiments
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | Causal Inference | Databricks | Databricks ML | Experimental Design | Google Vertex | Google Vertex AI | MLOps | MLflow | Machine Learning | Model Deployment | Model Drift | Model Monitoring | NumPy | Pandas | PyTorch | Python | SQL | Scikit-learn | Spark | Statistics | TensorFlow | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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