Data Scientist
Tasks
- Collaborate with commercial and operational stakeholders
- Communicate analytical findings to stakeholders
- Develop machine learning use cases
- Engineer features and train models
- Evaluate and validate machine learning models
- Identify retraining needs
- Implement production handover with MLOps
- Manage end-to-end data science lifecycle
- Monitor models and detect model drift
- Perform data exploration and data preparation
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Cloud Computing | Cloud platform | Data Preparation | Experimentation | Feature Engineering | Google Cloud | Google Cloud Platform | MLOps | Machine Learning | Model Drift | Model Monitoring | Predictive Analytics | Python | Retraining | SQL | Statistical modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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