Summary
About this role
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
Joining time frame: 2 weeks (maximum 1 month)
Other facts
About VAM Systems
VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia.
Delivers leading edge information and communication technology based business solutions to enable our clients to continuously stay ahead and achieve sustainable profit and consistent growth by leveraging new channels of customer engagement and service delivery as well as better and efficient employment of resources and processes with measurable parameters for performance. While our local presence assists us in better understanding of the local needs, our global presence assist us to offer solutions strengthened by experience in leading markets globally.
What you'll do
- 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.
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