Data Scientist - Extensions
Tasks
- Analyze enterprise data challenges and ensure robust model performance
- Collaborate with research and engineering teams on model behavior
- Design and run experiments and build benchmarks
- Design implement and maintain production quality Python components
- Document methods build internal tooling and improve reproducibility
- Evaluate model improvements using statistical methodologies
- Research develop data science methods to improve predictive performance
- Validate approaches on real customer datasets and enable deployment
- Work on structured machine learning tasks classification regression ranking forecasting
Perks/Benefits
- Health coverage
- High autonomy
- Low-ego culture
- Ownership and collaboration
- Paid parental leave
- Relocation support
Skills/Tech-stack
Benchmarking | CatBoost | Classification | Data Imbalance | Data Imbalance Handling | Data Modeling | Data handling | Distribution Shift | DuckDB | Experiment design | Forecasting | LightGBM | Machine Learning | Missing data | Missing data handling | NumPy | Pandas | Polars | Python | Ranking | Regression | Scikit-learn | Statistical Analysis | Tabular Data | Tabular Data Modeling | XGBoost
Education
N/A
Roles
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