Data Scientist - Extensions
Tasks
- Analyze enterprise tabular data challenges
- Build structured machine learning models for classification regression ranking and forecasting
- Collaborate with research and engineering teams to translate insights
- Create technical documentation and best practices
- Design and run experiments and benchmarks
- Design implement and maintain production Python components
- Evaluate model improvements using statistical methods
- Research machine learning methods to improve predictive performance
- Validate approaches on real customer datasets
Perks/Benefits
- Health coverage
- High autonomy
- Low-ego culture
- Ownership and collaboration
- Paid parental leave
- Relocation support
Skills/Tech-stack
Benchmarking | CatBoost | Classification | DuckDB | Experiment design | Forecasting | Gradient boosting | LightGBM | Machine Learning | NumPy | Pandas | Polars | Python | Ranking | Regression | Scikit-learn | Statistical Analysis | Structured Prediction | Tabular Data | XGBoost
Education
N/A
Roles
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