Data Scientist
Tasks
- Build ranking and personalization models
- Build statistical models for pricing and conversion optimization
- Calibrate probability and conversion models
- Collaborate with engineering to deploy models as services
- Design causal inference and quasi-experimental approaches
- Model elasticity and gain loss for bidding
- Validate statistical methods and select model approaches
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Bayesian statistics | Causal Inference | Cloud Computing | Cloud platform | Elasticity Modeling | Experimental Design | Google Cloud | Google Cloud Platform | Learning-to-Rank | Machine Learning | Machine learning deployment | Microsoft Azure | Model Validation | Personalization | Probability calibration | Python | Quasi Experimental | Quasi-Experimental Design | Ranking Models | SQL | Statistical modeling | Web Services
Education
N/A
Roles
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