Senior Data Scientist
Tasks
- Apply causal inference
- Build production machine learning models
- Communicate findings to cross functional stakeholders
- Conduct experiments
- Deploy end-to-end machine learning models
- Design automated model retraining pipelines
- Maintain telemetry schemas and data contracts
- Monitor model performance
- Perform incident response for model systems
- Predict churn risk
- Run exploratory analyses
- Score customer expansion likelihood
- Translate model outcomes to business decisions
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Causal Inference | DBT | Data Modeling | Experiment design | Incident Response | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Python | SQL | Snowflake | Statistics | Vertex AI
Education
N/A
Roles
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