Data Scientist Engineer
Tasks
- Analyze complex datasets
- Analyze embeddings and confusion matrices
- Diagnose dataset shift and domain drift
- Evaluate machine learning model performance
- Implement data quality and curation pipelines
- Improve weakly labeled and unlabeled data
- Integrate improved data workflows into ML pipelines
- Investigate imbalanced and noisy data
- Perform representation analysis
- Translate analysis into data filtering and relabeling recommendations
Perks/Benefits
- Christmas holidays
- Health insurance
- Psychological counseling
- Support for military and veterans
- Veteran Hub Cooperation
Skills/Tech-stack
Clustering | Convolutional Neural Networks | DVC | Data Annotation | Data Drift | Data labeling | Dimensionality Reduction | Imbalanced Data | KNN | MLflow | Matplotlib | Model Evaluation | Model diagnostics | Neural Networks | Noisy Labels | NumPy | PCA | Pandas | Pseudo-labeling | Python | Scikit-learn | Seaborn | Svr | T-SNE | Transformers | UMAP | Weights and Biases | XGBoost
Education
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