We are currently looking for a Data Scientist for our Qatar operations with the following terms & conditions.
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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), support documentation for governance review.
Expertise Required
- Advanced 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 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
Joining Time Frame
2 weeks (maximum 1 month)
Location
Doha, Qatar
