Mid Data Scientist
Tasks
- Build machine learning models
- Collaborate with stakeholders
- Conduct statistical inference and hypothesis testing
- Create data visualizations
- Deploy and manage model lifecycle
- Evaluate and validate machine learning models
- Perform data analysis and reporting
- Run ML experiments and track results
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Azure Machine Learning | Cross-validation | Databricks ML | Google Vertex | Google Vertex AI | Hypothesis Testing | MLOps | MLflow | Machine Learning | Matplotlib | Model Deployment | Model versioning | NumPy | Pandas | Plotly | Power BI | Probability | PyTorch | Python | SQL | Scikit-learn | Seaborn | Statistics | Tableau | TensorFlow | Vertex AI | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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