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Data Scientist - Banking at VAM Systems
Doha, Doha, Qatar -
Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, SQL, MLflow, Airflow, Docker, Model Performance Metrics, Deep Learning, PyTorch, Tensorflow, Git, Model Explainability

Industry

IT Services and IT Consulting

Description
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)
Responsibilities
The Data Scientist will design, build, and optimize predictive models and machine learning algorithms. They will also maintain automated model pipelines and implement model drift detection and performance diagnostics.