Staff Data Scientist, Pricing
Tasks
- Apply causal methods for pricing decisions
- Build demand and elasticity modelling capability
- Build pricing optimisation layer for recommended prices
- Connect pricing decisions to margin and revenue
- Define pricing governed data definitions
- Deploy machine learning models with monitoring and retraining
- Design and analyse pricing experiments
- Develop machine learning models for demand forecasting
- Develop machine learning models for willingness to pay
- Forecast demand response to price
- Own price cost and package economics definitions
- Validate models and recommendations before live pricing
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Algorithmic Pricing | B testing | Causal Inference | Constrained optimization | Demand forecasting | Dynamic Pricing | Elasticity Modelling | Experimentation | Feature Engineering | Machine Learning | Model Deployment | Model Monitoring | Optimization | Python | Reinforcement Learning | Repricing | Retraining | SQL | Willingness-to-Pay
Education
Roles
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