Data Scientist - Extensions
Tasks
- Analyze structured data challenges and ensure robust model performance
- Collaborate with research and engineering teams on model behavior and insights
- Create technical documentation and internal tooling to improve reproducibility
- Design and run experiments build benchmarks evaluate improvements
- Design implement and maintain production Python components
- Develop structured machine learning models for classification regression ranking and forecasting
- Research data science methods to improve predictive performance
- Validate approaches on customer datasets and transform into deployable capabilities
Perks/Benefits
Skills/Tech-stack
CatBoost | Class imbalance | Classification | Distribution Shift | DuckDB | Experiment design | Forecasting | Gradient boosting | Learning Research | LightGBM | Machine Learning | Machine learning research | Missing data | NumPy | Pandas | Polars | Python | Ranking | Regression | Scikit-learn | Statistical Analysis | Tabular Data | XGBoost
Education
N/A
Roles
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