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)
Sponsored
Explore Data
Skills in this job
People also search for
Similar Jobs
More jobs at VAM Systems
Sponsored
Apply for this position
Sign In to ApplyAbout VAM Systems
Careers at VAM Systems. Find Great Talent with Career Pages. | powered by SmartRecruiters | Find Great Talent with a Career Page.