Get to Know Our Team The Data department , based in Bangkok , oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

What You’ll Do

• 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.

• 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.

• Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
• Experience with production LLM or generative-AI systems.
• Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.