Data Scientist - Extensions
Tasks
- Analyze structured enterprise data challenges
- Build classification regression ranking and forecasting models
- Collaborate with research and engineering teams
- Create technical documentation and best practices
- Design experiments and benchmarks
- Develop production quality Python components
- Evaluate model improvements with statistical methods
- Research predictive machine learning methods
- Validate approaches on real customer datasets
Perks/Benefits
Skills/Tech-stack
Benchmarking | CatBoost | Class imbalance | Classification | Distribution Shift | Experiment design | Forecasting | Gradient boosting | High cardinality | High cardinality features | LightGBM | Machine Learning | Missing Value Handling | NumPy | Pandas | Python | Ranking | Regression | Scikit-learn | Statistical Evaluation | Structured data | Tabular Data | XGBoost
Education
N/A
Roles
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