Full-Stack Data Scientist - Pricing
Tasks
- Build and maintain analytics pipelines
- Build pricing models for markets and locations
- Build search pricing algorithms
- Design and measure promotions and incentives
- Design dynamic pricing logic
- Develop agentic layer for self serve insights
- Develop analytics dashboards and forecasting
- Model two sided marketplace incentives
- Optimize contribution margin and unit economics
- Run causal experiments on pricing changes
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | Amplitude | B testing | Causal Inference | Contribution Margin | Data Pipelines | Data Visualization | Data Warehousing | Demand Modeling | Diff-in-diff | Dynamic Pricing | Experimentation | Geo Holdout | Machine Learning | Price elasticity | Python | Recommendation Systems | Regression | Switchback | Synthetic control | Tableau | Unit economics | Willingness-to-Pay
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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