Senior Data Scientist
Tasks
- Apply causal inference for business problems
- Build production machine learning models
- Communicate model outcomes to stakeholders
- Create telemetry schemas and data contracts
- Deploy machine learning models to score churn risk and expansion likelihood
- Design automated model retraining pipelines
- Monitor model performance and handle incidents
- Run exploratory data analysis and experiments
Perks/Benefits
Skills/Tech-stack
Amazon SageMaker | Causal Inference | DBT | Data Contracts | Experimentation | MLOps | MLflow | Machine Learning | Model Monitoring | Model retraining | Python | SQL | Snowflake | Statistics | Telemetry | Vertex AI
Education
N/A
Roles
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