Specialist - AL/ML - #56059

Job Purpose

To improve container terminal planning and operations through advanced planning research & analysis. This involves designing and implementing predictive models, statistical algorithms, and data pipelines to identify trends, patterns, and insights. The job requires collaboration with cross-functional teams and stakeholders to develop data-driven solutions, validate models and algorithms, and communicate recommendations through dashboards and reports. The job also involves staying current with industry trends and developments in machine learning and data science, while ensuring data privacy, security, and regulatory compliance.

Principal Responsibilities

• Conduct research and analysis to identify areas for improvement in container terminal planning and operations.
• Develop predictive models and algorithms to optimize container terminal planning and operations.
• Design and develop machine learning/AI solutions to enhance container terminal planning and operations.
• Collaborate with cross-functional teams to implement optimised planning solutions.
• Test and validate models and algorithms using real-world planning data.
• Monitor and evaluate the performance of machine learning and AI models and algorithms/solutions used in advance and central planning field.
• Stay current with the latest industry trends and developments in machine learning and AI technology that supports the operations/planning optimization.
• Automate the process of collecting, cleaning, and analysing large planning-related data sets, and build/maintain data pipelines and tools for efficient planning processing, transformation, and analysis.
• Develop statistical models and algorithms to support planning data-driven decision-making.
• Collaborate with stakeholders to translate their needs into data-driven solutions and develop planning (DSS) like dashboards to effectively communicate insights and recommendations.
• Stay up-to-date with new data science and machine learning techniques, and participate in A/B tests and experiments to continuously refine models and algorithms.
• Ensure data privacy, security, and regulatory compliance.