Senior Data Scientist
Tasks
- Build churn prediction models
- Communicate findings to non-technical stakeholders
- Design revenue attribution frameworks
- Develop propensity and next best action recommendations
- Own model lifecycle feature engineering training deployment monitoring retraining
- Productionize data science models
- Run and analyze A B tests and quasi experiments
- Translate business questions into analytical problems
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Causal Inference | Data pipeline | ECS | Experimentation | Feature Engineering | Lambda | Model Deployment | Model Monitoring | Pandas | Python | Retraining | SQL | SageMaker | Scikit-learn | Snowflake | Statistics | StatsModels
Education
N/A
Roles
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