Data Scientist (Pricing)
Tasks
- Collaborate with data engineers on datasets
- Design AB test experiments
- Develop end-to-end machine learning models
- Drive pricing forecasting and optimization
- Identify and address model degradation issues
- Monitor model quality and key metrics
- Perform error analysis and performance evaluation
- Prepare models and code for deployment
Perks/Benefits
- Conference support
- Corporate travel discounts
- Extra day off
- Flexible schedule
- Hybrid work
- Language learning support
- Remote work
- Training and development
Skills/Tech-stack
Airflow | Anomaly Detection | Boosting | Classification | DVC | Deep learning | Feature Engineering | Fraud Detection | MLflow | Machine Learning | Model Monitoring | PyTorch | Python | Regression | SQL | Series analysis | TensorFlow | Time Series | Time Series Analysis | Uplift Modeling
Education
N/A
Roles
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