Staff Data Scientist, Pricing
Tasks
- Apply causal methods when randomisation not possible
- Build demand and elasticity modelling capability
- Build optimisation layer for recommended pricing
- Connect pricing decisions to margin and revenue with stakeholders
- Define pricing within data ecosystem
- Deploy machine learning models with monitoring and retraining
- Design and analyse pricing experiments
- Develop machine learning models for demand forecasting
- Develop willingness to pay models
- Forecast pricing outcomes using demand models
- Own governed definitions of price cost and package economics
- Set analytical standards for pricing evidence and validation
Perks/Benefits
Skills/Tech-stack
Algorithmic Pricing | Bandit Algorithms | Causal Inference | Dynamic Pricing | Econometrics | Feature Engineering | Machine Learning | Model Deployment | Model Monitoring | Operations Research | Optimization | Python | Reinforcement Learning | Retraining | SQL | Series analysis | Statistical experimentation | Statistics | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Arts | Master of Science | PhD
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