Your new company

A leader in global supply chain and logistics, this company utilises cutting-edge technologies and smart data-driven operations to deliver world-class port services and innovative cargo solutions at an unheard scale.

Your new role

• Develop data analytics solutions to support local and global business needs and objectives.
• Responsible to design, develop and deploy data analytic solutions for key internal clients to achieve their data analytics requirements.
• Build ML and AI models using programming languages and tools from big data.
• Analyse multidimensional and high-volatile structured or unstructured data to receive recommendations and business insights.
• Collaborate with the data engineering and data science team, aligning best practices and data governance standards.

What you'll need to succeed

• Degree in Computer Science, Statistic, Data management, Engineering or related fields.
• At least 5 years of experience as a data analyst or data scientist.
• Expertise in a statistical programming language (e.g Python or R)
• Knowledge in application of statistic modelling and machine learning techniques
• Experience in a visualisation tool (e.g PowerBI)
• Knowledge in the full development lifecycle of data analytics solutions such as data & business understanding, model development, data preparation, validation, deployment, and visualisation.
• Experience in Azure ML, Synapse Analytics, Databricks is preferred.
• Ability to learn and apply open-source data science technologies on big data to generate insights and develop solutions.
• Strong communicator to refine and present data insights while working with various internal stakeholders.

What you'll get in return

• Career exposure across global network and projects
• Group level decision and transformation
• Comprehensive benefits and exciting salary package

What you need to do now

If this job excites you, email your updated CV to Lijie Ong at lijie.ong@hays.com.sg or reach her at +65 81006059 for a confidential discussion on your career.

Hays Registration Number: R22108533, EA License: 07C3924, Company Registration Number: 200609504D.