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Changi Airport Group

Title: Data Scientist (Marketing)

Changi Airport Group
BusinessSingaporeFull-time3 days ago
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About the role

AI summarised

The Enterprise Data Science Management team is seeking an experienced Data Scientist (Marketing) to lead predictive analytics and AI-driven marketing innovations. The role involves developing ML/AI models, analyzing customer behavior, and partnering with business leaders to drive strategy. The ideal candidate has a strong background in AI engineering and machine learning with 4+ years of experience.

BusinessFull-time7067

Key Responsibilities

  • Work closely with EDSM team to identify and provide insights for important Customer Intelligence questions
  • Solve commercial problems with AI to deliver social and economic value
  • Develop, validate and deliver algorithms, statistical models and analytical insights to achieve business goals
  • Analyze and interpret the results of marketing/Ops campaigns and/or experiments and recommend enhancements for future campaigns
  • Establish scalable, efficient, automated processes for large scale data analysis, model development, model validation, model implementation and model ops
  • Develop go-to-market implementations and connect strategy to execution around data infrastructure, AI operating models and GenAI-enabled transformation
  • Create a culture of excellence and lead with confidence, charisma, context, and humility working effectively at all levels
  • Provide thought-leadership and establish best practices for instrumentation and experimentation and communicate those to EDSM and other Data Science/Analytics teams

Requirements

  • M.S. or Ph.D. in a relevant technical field with 4 years' experience in a relevant role
  • Exceptional interest in AI engineering, machine learning and data science
  • Strong understanding of marketplace for AI services with ability to develop go-to-market plans with marketing teams
  • A strong passion for empirical research and for answering hard questions with data
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Practical hands-on experience with a broad range of tools to assist in AI development: Jupyter, LLMs, PyTorch, TensorFlow, AWS SageMaker, Google Vertex AI, Azure ML, etc
  • Strong track record of leading delivery of AI solutions through incubation, proof-of-concept, to large-scale real-time deployment