Water Quality Data Scientist_UAEN
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Key skills for this role
About the Role
EWEC seeks a Data Scientist to lead data-driven solutions for water quality assessments using machine learning and predictive analytics. The role involves analyzing complex datasets, building data models, and maintaining pipelines to support water quality assurance.
Key Skills for This Role
Responsibilities
- Lead development and implementation of data driven solutions for water quality assessments using machine learning and predictive analytics
- Analyze large datasets to identify trends, patterns, and anomalies for continuous improvement
- Develop and maintain data pipelines for efficient data collection, processing, and storage
- Create and refine data models and algorithms to boost predictive capabilities of water quality tools
- Develop and maintain water quality dashboards and visualization tools
- Prepare and present detailed reports on data analysis and modeling outcomes
Requirements
- Bachelor's degree in Data Analytics, Computer Science, or related field
- Minimum 5 years of experience in data analysis with focus on Civil Engineering, Environmental Engineering, or Data Analytics
- Experience with data analysis tools and software
- Master's degree in related field preferred
Full Job Posting
About EWEC
- EWEC is the sole procurer and supplier of water and electricity in Abu Dhabi, driving planning, forecasting, and system despatch services.
- EWEC is mandated to achieve 60% clean energy target by 2035 and support UAE Net Zero by 2050.
Role Summary
- The Data Scientist leads data driven solutions for water quality assessments using machine learning and predictive analytics.
- The role involves analyzing complex datasets, building data models, and maintaining data pipelines.
Job Specific Responsibilities
- Lead development and implementation of data driven solutions for water quality assessments.
- Collaborate with water quality and other departments to integrate data science methodologies.
- Analyze large datasets to identify trends, patterns, and anomalies.
- Develop and maintain robust data pipelines for efficient data collection, processing, and storage.
- Oversee creation and refinement of data models and algorithms.
- Develop and maintain water quality dashboards and visualization tools.
- Integrate external data sources and industry benchmarks into water quality models.
- Prepare and present detailed reports on data analysis and modeling outcomes.
- Ensure adherence to data privacy, security, and regulatory standards.
- Lead projects to enhance water quality assurance processes.
- Optimize data collection, processing, and storage practices.
- Support integration of emerging technologies into water quality assurance models.
Minimum Requirements
- Bachelor's degree in Data Analytics, Computer Science, or related field.
- Master's degree in related field preferred.
- Experience with data analysis tools and software required.
- Minimum of 5 years of experience in data analysis, with focus on Civil Engineering, Environmental Engineering, or Data Analytics.
- Water and utility sector experience preferred.
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