Data Scientist - Banking
VAM SystemsQatar9 days ago
Job descriptionAdvanced proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, LightGBM) Strong command of SQL and handling large datasets (via warehouse or lake) Experience deploying models using MLflow, Airflow, Docker or similar tools Familiarity with model performance metrics (ROC AUC, F1, lift / gain, etc.) Hands‑on experience in training and evaluating models for binary classification, multi‑class regression or time series Exposure to deep learning (PyTorch or TensorFlow) for advanced use cases Working knowledge of embeddings, vector stores or text‑based models Git‑based versioning and reproducible ML workflow setup Laboratory Experience Immunoassays Machine Learning Biochemistry Assays Research Experience Spectroscopy Research & Development cGMP Cell Culture Molecular Biology Data Analysis Skills
Core Responsibilities
- Design, build and optimize predictive models and machine learning algorithms using structured and semi-structured data.
- Perform data pre-processing, feature engineering and model selection independently.
- Build and maintain automated model pipelines including training, validation, scoring and monitoring.
- Implement model drift detection, retraining logic and performance diagnostics.
- Conduct code-based model explainability (e.g., SHAP, LIME) and support documentation for governance review.
Expertise Required
Joining time frame
2 weeks (maximum 1 month)
Remote Work
No
Employment Type
Full‑time
Key Skills
Experience : years
Vacancy : 1
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Data Scientist • Qatar