Transportation Data Analytics Specialist - Roads and Transport Authority

• Collaborate with data engineers and analysts to classify and integrate transportation data from multiple sources, creating comprehensive datasets for analysis.
• Incorporate various transportation modes into real-time models to enhance intermodal connectivity and optimize solutions.
• Execute transportation modeling tasks, including model calibration, validation, forecasting, and scenario analysis.
• Conduct sensitivity and uncertainty analyses to ensure model accuracy and reliability.
• Develop and test real-time transportation models, ensuring alignment with real-world data.
• Generate analytical reports and dashboards using KPIs such as travel time, delays, and average speeds to support decision-making.
• Apply statistical, spatial, and machine learning techniques to extract insights and patterns in transportation systems.
• Design and develop innovative use cases to solve complex transportation challenges and improve operational efficiency.
• Support policy review and contribute to the development of technical documents in alignment with RTA standards.
• Conduct workshops and training sessions to support knowledge sharing and skill development within the organization.

• Bachelor's degree in Transportation Engineering, Civil Engineering, Traffic Engineering, or Transportation Planning.
• Minimum 5 years of experience in transportation analytics, including transportation modeling and machine learning applications.
• Proficiency in data science tools, machine learning algorithms, data visualization platforms, SQL/NoSQL databases, and big data tools.
• Knowledge of spatial data analysis using GIS or QGIS.
• Strong analytical and problem-solving skills, with the ability to manage complex datasets.
• Excellent communication skills and ability to work in a multidisciplinary team.
• Master's degree in Computer Science, Applied Mathematics, or Data Science is a plus.

• Competitive tax-free salary and benefits package.
• Opportunity to work on innovative projects with advanced analytics tools and technologies.
• Professional growth in one of Dubai's most strategic and technology-driven departments.
• Exposure to large-scale transportation projects shaping the future of urban mobility.

• Collaborate with data engineers and analysts to classify and integrate transportation data from multiple sources, creating comprehensive datasets for analysis.
• Incorporate various transportation modes into real-time models to enhance intermodal connectivity and optimize solutions.
• Execute transportation modeling tasks, including model calibration, validation, forecasting, and scenario analysis.
• Conduct sensitivity and uncertainty analyses to ensure model accuracy and reliability.
• Develop and test real-time transportation models, ensuring alignment with real-world data.
• Generate analytical reports and dashboards using KPIs such as travel time, delays, and average speeds to support decision-making.
• Apply statistical, spatial, and machine learning techniques to extract insights and patterns in transportation systems.
• Design and develop innovative use cases to solve complex transportation challenges and improve operational efficiency.
• Support policy review and contribute to the development of technical documents in alignment with RTA standards.
• Conduct workshops and training sessions to support knowledge sharing and skill development within the organization.

• Bachelor's degree in Transportation Engineering, Civil Engineering, Traffic Engineering, or Transportation Planning.
• Minimum 5 years of experience in transportation analytics, including transportation modeling and machine learning applications.
• Proficiency in data science tools, machine learning algorithms, data visualization platforms, SQL/NoSQL databases, and big data tools.
• Knowledge of spatial data analysis using GIS or QGIS.
• Strong analytical and problem-solving skills, with the ability to manage complex datasets.
• Excellent communication skills and ability to work in a multidisciplinary team.
• Master's degree in Computer Science, Applied Mathematics, or Data Science is a plus.

• Competitive tax-free salary and benefits package.
• Opportunity to work on innovative projects with advanced analytics tools and technologies.
• Professional growth in one of Dubai's most strategic and technology-driven departments.
• Exposure to large-scale transportation projects shaping the future of urban mobility.

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