Data Scientist

Changi Airport Group (Singapore) Pte. Ltd.; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

Changi Airport Group is seeking a Lead Data Scientist to enhance customer intelligence through AI and data analysis. This role involves solving commercial problems, delivering algorithms, and establishing processes for efficient data management. Ideal candidates will have a strong background in AI engineering and a passion for empirical research. Join a dynamic team committed to pioneering data-driven solutions.

Qualifications

• Exceptional expertise in AI engineering and machine learning.
• Ability to communicate complex quantitative analyses clearly.
• Proven track record in leading AI solution delivery.

Responsibilities

• Develop, validate, and deliver algorithms and statistical models.
• Establish scalable, automated processes for data analysis.
• Provide thought leadership and establish best practices in data analytics.

Skills

AI engineering

machine learning

data science

Education

M.S. or Ph.D. in a relevant technical field

4+ years of experience in a relevant role

Tools

Jupyter

LLMs

PyTorch

TensorFlow

AWS Sagemaker

Google Vertex AI

Azure ML

Job description

Company description:

Changi Airport Group (CAG) is the manager of Singapore Changi Airport, a leading air hub in Asia and one of the world's most awarded airports. As airport manager, CAG performs the key functions of airport operations, air hub development, retail and commercial activities, infrastructure development, and airport emergency services. CAG also manages Seletar Airport, and through its subsidiary, Changi Airports International, it extends Changi's presence beyond Singapore through consultancy projects and investments in foreign airports. Come join us today!

Job description:

Enterprise Data Science and Management (EDSM) is seeking an experienced Lead Data Scientist to join our Data Science team. Individuals in this role are expected to be comfortable working as an AI/ML Ops engineer and a quantitative researcher. The ideal candidate will have a keen interest in studying customer buying behavior and a passion for identifying and answering questions that help us understand and fulfill the latent needs of our customers.

Responsibilities

• Work closely with the EDSM team to identify and provide insights for key Customer Intelligence questions.
• Solve commercial problems with AI to generate social and economic value.
• Develop, validate, and deliver algorithms, statistical models, and analytical insights to meet business objectives.
• Analyze and interpret marketing and operations campaign data and experiments, recommending improvements for future initiatives.
• Establish scalable, efficient, automated processes for large-scale data analysis, model development, validation, deployment, and operations.
• Develop go-to-market strategies and connect strategy to execution concerning data infrastructure, AI operating models, and GenAI-enabled transformation.
• Create a culture of excellence, leading with confidence, charisma, context, and humility across all levels.
• Provide thought leadership and establish best practices for instrumentation and experimentation, sharing these across the Data Science and Analytics teams.

Requirements

• M.S. or Ph.D. in a relevant technical field, or 4+ years of experience in a relevant role.
• Exceptional expertise in AI engineering, machine learning, and data science.
• Strong understanding of the AI services marketplace with the ability to develop go-to-market plans with marketing teams.
• A passion for empirical research and solving complex questions with data.
• Ability to communicate complex quantitative analyses clearly, precisely, and actionably.
• Hands-on experience with tools such as Jupyter, LLMs, PyTorch, TensorFlow, AWS Sagemaker, Google Vertex AI, Azure ML, etc.
• Proven track record of leading AI solution delivery from incubation to large-scale deployment.