Principal Data Scientist & ML Innovator

Careersatagoda; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agoda is seeking a data scientist to join our Data team in Bangkok. You’ll apply data science, machine learning, and statistics to build production models that drive measurable impact for travellers and partners.

You’ll work with vast data sets and modern ML platforms to improve search, pricing, and recommendations. You’ll own end-to-end solutions from problem framing through deployment, and collaborate with cross-functional teams to shape strategy and advance data-driven decision making at

Qualifications

• Extensive hands-on experience in data science, machine learning, and statistics.
• Experience delivering production models with measurable customer or business impact.
• Strong Python and SQL skills; experience with large-scale data and ML platforms.
• Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.

Responsibilities

• Identify and solve high-leverage problems across Agoda.
• Translate ambiguous problems into measurable objectives and technical solutions.
• Lead the design and deployment of ML, AI, and analytical solutions.
• Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
• Partner with cross-functional leaders to shape strategy and roadmaps.
• Provide technical leadership and mentorship across the data-science community.

Skills

Python

SQL

Data science

Machine learning

Statistics

ML platforms

Education

Advanced degree in Computer Science/Statistics/OR/Mathematics

Tools

ML platforms

Job description

Agoda is seeking a data scientist to join our Data team in Bangkok. You’ll apply data science, machine learning, and statistics to build production models that drive measurable impact for travellers and partners.

You’ll work with vast data sets and modern ML platforms to improve search, pricing, and recommendations. You’ll own end-to-end solutions from problem framing through deployment, and collaborate with cross-functional teams to shape strategy and advance data-driven decision making at