Senior Data Scientist — Clean Cooking (PAYG LPG)
Tasks
- Apply probabilistic and Bayesian methods
- Build data products end to end
- Create customer segmentation
- Design and analyze A/B tests and quasi-experiments
- Design machine learning models for churn and dormancy prediction
- Detect anomalies
- Develop credit and payment behaviour models
- Forecast demand
- Maintain reproducible documented code
- Monitor model performance and trigger retraining
- Perform exploratory analysis and feature engineering
- Quantify uncertainty for pricing and promotion decisions
- Track metrics and report model impact to business stakeholders
- Wrangle structured and semi structured data
Perks/Benefits
Skills/Tech-stack
AWS | Amazon S3 | Anomaly Detection | Bayesian Inference | Calibration | Clustering | Cross-validation | Customer Segmentation | Data Wrangling | Experiment design | Gradient boosting | Hypothesis Testing | MLflow | Machine Learning | Probabilistic Modeling | Pymc | Python | Regression | SQL | Series forecasting | Stan | Statistical Hypothesis Testing | Time Series | Time Series Forecasting | Uncertainty Quantification
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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