Staff Data Scientist– Pricing Science
Tasks
- Build demand forecasting models
- Build price elasticity models
- Communicate model risk and uncertainty
- Debug production model failures
- Define ML tasks and success criteria
- Design and analyze experiments
- Design production pricing systems
- Develop dynamic pricing models
- Develop experimentation infrastructure
- Diagnose overfitting and failure modes
- Evaluate and validate models
- Measure causal impact of pricing decisions
- Monitor models in production
- Prevent data leakage
Perks/Benefits
- 401k match
- Dental insurance
- Employee discounts
- Medical insurance
- Paid time off
- RRSP match
- Vision insurance
Skills/Tech-stack
AWS | Causal Inference | Classification | Data leakage | Data leakage detection | Experimental Design | GCP | Holdout testing | Leakage detection | Machine Learning | Model Evaluation | Model Monitoring | Model Validation | Overfitting | Python | Regression | SQL | SageMaker | Time Series | Vertex AI
Education
Roles
Regions
Countries
States
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