Analista de Dados
Tasks
- Apply causal inference to estimate intervention impact
- Conduct A B testing and quasi experimental strategies
- Define hypotheses and causal strategies
- Deploy and monitor models in production
- Design and run controlled experiments
- Develop predictive models end to end
- Disseminate data science best practices
- Ensure model governance reproducibility and monitoring
- Evaluate model performance and metrics
- Measure solution impact
- Translate analysis into business recommendations
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Causal Graph Models | Causal Inference | Causal forests | CausalML | Data Pipelines | Difference-in-differences | DoWhy | EconML | Experimental Methods | Git | Graph Models | Inferential Causality | Machine Learning | Predictive Modeling | Propensity score | Python | Quasi Experimental | Quasi-experimental methods | SQL | Statistical modeling | Synthetic control
Education
N/A
Roles
Analyst | Data Analyst | Engineer | Learning Engineer | Machine Learning Engineer
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