Summary: Seeking a Data Scientist to design, build, and optimize predictive models and machine learning algorithms, performing data pre-processing, feature engineering, and model selection. Highlights: 1. Design and optimize predictive models and machine learning algorithms 2. Build and maintain automated model pipelines 3. Conduct code-based model explainability for governance review **Job Description** **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)