Data Scientist
Tasks
- Build data pipelines for model monitoring
- Communicate model behavior and recommendations to stakeholders
- Design machine learning models for pricing
- Develop demand forecasting and business models
- Implement dynamic pricing and competitor analysis models
- Integrate pricing models into business systems
- Monitor model performance and retrain models
- Translate business requirements into predictive models
- Validate models using experiments and validation approaches
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated Machine Learning | Azure | Demand forecasting | Docker | Dynamic Pricing | Feature Engineering | GCP | Inventory optimization | LightGBM | Machine Learning | Model Monitoring | Model Validation | Predictive Modeling | Price elasticity | Python | Revenue Management | SQL | Scikit-learn | Statistical Analysis | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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