We are currently looking Data Scientist for our Qatar operations with the following terms & conditions.
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 (eg. SHAP LIME) support documentation for governance review.
Expertise Required
- Advanced proficiency in Python (Pandas NumPy Scikit-leam XGBoost LightGBM)
- Strong command of SQL arid 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)
Additional Information :
Terms and conditions:
Joining time frame: maximum 4 weeks
Remote Work :
No
Employment Type :
Full-time