Lead Data Scientist – Energy Domain
Tasks
- Build time-series forecasting models
- Collaborate with stakeholders
- Conduct code reviews
- Deploy models with Azure ML
- Design data processing pipelines
- Develop machine learning models
- Develop statistical models
- Ensure model explainability
- Manage MLOps processes in Azure
- Manage model governance
- Mentor junior data scientists
- Monitor model performance
- Perform feature engineering
- Process data with Databricks
- Use Git for version control
- Validate model performance
Perks/Benefits
- Backup care sessions
- Career coaching
- Critical illness cover
- Gympass
- Health insurance
- Life insurance
- Online GP services
- Pension
- Training
Skills/Tech-stack
Azure | Azure Machine Learning | Data Quality | Databricks | Feature Engineering | Forecasting | Git | MLOps | Machine Learning | Model Explainability | Model Governance | Model Validation | Python | Series analysis | Statistical modeling | Time Series | Time Series Analysis | Version control
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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