Senior Data Scientist — Clean Cooking (PAYG LPG)
Tasks
- Apply Bayesian and probabilistic methods for uncertainty quantification
- Build credit and payment behavior models
- Build monitoring for model performance and retraining triggers
- Conduct exploratory analysis and feature engineering
- Create customer segmentation
- Design and analyze A B tests and geo tests
- Detect anomalies
- Develop machine learning models for churn dormancy prediction
- Maintain reproducible well documented code
- Own data products end to end from discovery to deployment
- Perform demand forecasting
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | Bayesian Inference | Calibration | Clustering | Cross-validation | Experiment design | Feature Engineering | Gradient boosting | Hypothesis Testing | MLflow | Machine Learning | Model Evaluation | Probabilistic Modeling | Pymc | Python | Regression | SQL | Series forecasting | Stan | Statistical Hypothesis Testing | Time Series | Time Series Forecasting | Uncertainty Quantification
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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