Data Scientist: Insights & Intelligence - Level 3
Tasks
- Build production quality ML applications
- Communicate executive recommendations
- Create analytical dashboards and reports
- Deploy models to production
- Develop machine learning models
- Develop statistical models
- Formulate analytical questions
- Maintain analytical best practices
- Scope data science problems
- Validate model approaches
- Write Python pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Bayesian | Bayesian Methods | Causal Inference | Containerization | Dash | Databricks | Deep learning | Docker | Experimental Design | Git | MLOps | Machine Learning | Optimization | PySpark | Python | SQL | Series forecasting | Statistical modeling | Streamlit | Time Series | Time Series Forecasting
Education
Roles
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