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ExecutiveFull-timePythonDockerMachine LearningTensorFlowPyTorch
Salary Range
$101,745 - $137,655 /year
This salary is estimated based on similar roles. The actual salary may vary.
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)
 
Free to sign up. Takes 30 seconds.
About VAMSystems
VAMSystems is a technology company specializing in the development and implementation of advanced software solutions for the energy and utilities sector. Headquartered in the United States, the company has established itself as a key player in providing innovative tools to enhance operational efficiency and asset management within the industry. Since its inception, VAMSystems has focused on leveraging cutting-edge technology to address the complex challenges faced by energy providers, utilities, and industrial clients, ensuring reliable and sustainable operations. The company offers a comprehensive suite of products and services, including asset management software, outage management systems, and smart grid solutions, all designed to optimize performance and reduce downtime. Key features of their offerings include real-time data analytics, predictive maintenance capabilities, and seamless integration with existing infrastructure. VAMSystems primarily targets utilities, energy distributors, and industrial organizations that require robust, scalable solutions to manage their assets and operations effectively. Their solutions are tailored to meet the specific needs of these clients, ensuring compliance with industry standards and regulatory requirements. VAMSystems has achieved significant recognition for its innovative approach and technical expertise, positioning itself as a trusted partner in the energy sector. The company’s solutions have been implemented by numerous leading organizations, helping them achieve greater efficiency, reliability, and cost savings. What sets VAMSystems apart is its commitment to delivering customized, future-ready solutions that adapt to the evolving demands of the energy industry, making it a preferred choice for clients seeking long-term, sustainable technology partnerships.
