Senior Data Scientist (Pricing)
Tasks
- Build datasets with data engineers
- Conduct offline evaluation and error analysis
- Define ML problem and solution
- Deploy models to production
- Design and analyze A/B tests
- Develop and train machine learning models
- Develop text and image embeddings
- Implement model improvement plans
- Monitor model quality and drift
- Support releases and integrations
Perks/Benefits
- Adaptation and training programs
- Conference and training support
- English language lessons
- Flexible work schedule
- Hotel and travel discounts
- Hybrid work option
- MyTime Day Off
- Remote work option
- Work-life balance support
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Boosting | Classification | Cross-validation | DVC | Dagster | Data Drift | Deep learning | Experiment tracking | Feature Engineering | MLflow | Machine Learning | Model Monitoring | Model calibration | Prefect | PyTorch | Python | Regression | SQL | TensorFlow | Weights & Biases
Education
N/A
Roles
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