Lead/Senior/ Data Scientist
On-site · Singapore, Singapore
Job Summary
Lead data scientist role within CAAS’s data team, focusing on designing, building, and operationalising ML/AI solutions across enterprise and ecosystem scales. Responsibilities include translating business problems into data science problem statements, developing ML/AI solutions using predictive modelling, optimisation, simulation, and agentic workflows, prototyping to assess feasibility, evaluating models for performance and drift, productionising solutions with data engineers, and collaborating with vendors and external partners. Required skills include strong data science background, Python proficiency, statistical thinking, and ability to communicate with diverse stakeholders. Working with airport management and air traffic management domain knowledge is a plus. Appointment is a 3-year contract with potential for permanent tenure or renewal. Location: Singapore (CAAS, Changi Airport Terminal 2) with full-time arrangement.
Required Qualifications
- Background in data science, computer science, ML, AI, statistics, or related quantitative field
- Strong statistical thinking, experimentation and evaluation skills
- Experience building and evaluating ML/AI models, and applying techniques such as prediction, optimisation, text analysis or similar methods to real-world problems
- Strong Python skills for data analysis and model development, with experience using common data science, ML libraries, and AI frameworks
- Able to frame problems clearly, communicate to, and work across diverse stakeholders, including business, engineering, and architecture teams
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