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Bangkok, ThailandSalary not specified

This role involves leading a technical team to enhance the scalability, quality, and efficiency of data and machine learning processes. The engineer will design and build tools, libraries, pipelines, and platforms to support Data Science and Business teams in launching experiments in production. The position requires end-to-end ownership of systems to enable rapid production deployment. The team focuses on processing big data to help validate strategic decisions and react to a fast-changing environment.

Bangkok, ThailandSalary not specified

This role is part of Agoda's Performance Marketing team, focusing on data-driven marketing programs to improve customer lifetime value. Responsibilities include experimenting with campaign structures and bidding strategies on search engines and partners, modeling data to understand demand elasticity and campaign impact, and building dashboards to track performance and derive insights. The position requires a quantitative background and experience with data analysis tools.

BangkokSalary not specified

The AI Expert (LLMs & Generative AI) is responsible for designing, developing, and scaling AI solutions that leverage Large Language Models (LLMs), Generative AI, and modern AI platforms to solve business challenges and create measurable value. This role works closely with business stakeholders, AI Business Partners, data engineers, and solution architects to translate requirements into production-ready AI applications, including copilots, intelligent assistants, agentic workflows, knowledge management solutions, and process automation use cases. The AI Expert evaluates emerging AI technologies, establishes technical best practices, ensures responsible AI implementation, and drives the adoption of scalable AI architectures aligned with enterprise standards, security requirements, and governance frameworks. Qualification: * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field, with 5+ years of experience in software development, machine learning, data science, or AI engineering. * Strong expertise in Large Language Models (LLMs), Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, and model orchestration frameworks. * Hands-on experience with leading AI platforms and cloud services such as Azure AI, Azure OpenAI, Google Vertex AI, AWS Bedrock, or equivalent technologies. * Proficiency in Python and modern AI development frameworks, with a solid understanding of machine learning concepts, API integrations, MLOps, and enterprise solution architecture. * Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to both technical and business audiences. * Experience implementing responsible AI practices, model evaluation frameworks, and production-grade AI solutions is highly desirable.

Bangkok, ThailandSalary not specified

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED) **Get to Know our Team:** The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. **The Opportunity:** We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations. **In this Role, you’ll get to:** * **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy. * **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization. * **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams. * **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors. * **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency. * **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements. * **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts. * **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams. **What you’ll Need to Succeed:** * 5+ years of leadership experience in analytics/data science/insights/strategy * 2+ years’ experience leading analytics, operational, product or other technical teams * Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar * Strong statistical modelling and machine learning knowledge * Strong experience in finding data insights and provide business recommendation to the business * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Ability to multi-task, prioritize and coordinate resources. * Strong program/project management experience. * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) * Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus * People management – track record of developing stars * Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process **It’s Great if you Have:** * Master’s degree in statistics, economics, mathematics or similar discipline * Experience in conducting A/B testing experimentation * Travel industry / e-commerce / tech / consulting experience #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.

Bangkok, ThailandSalary not specified

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. THIS ROLE IS BASED IN BANGKOK, THAILAND (RELOCATION PROVIDED) **Get to Know our Team:** The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda. **The Opportunity:** We are seeking a Manager/Senior Manager to lead strategic and operational initiatives that create both growth and efficiency for the Supply department. In this role, you will work directly with multiple stakeholders, including executive leadership and various cross-functional departments to successfully implement key initiatives. You will impact Agoda’s business through exploring new business opportunities, analyzing complex scaling challenges, and improve existing operations. **In this Role, you’ll get to:** * **General:**This role is a blend of hands on ‘in the business’ and executive level ‘on the business’ work. To succeed you will enjoy rolling up your sleeves, leading a team and contributing to strategy. * **Project Delivery:**Manage, standardize & validate the structure of business cases for product development, headcount, engineering resources, budgets, general strategic & roadmap prioritization. * **Experimentation:**Define success, measure / validate experiments and help ingrain an experimental mindset within the teams. * **Forecasting and Insights:**Provide a macro-led business intelligence view to the organization to prevent missed opportunities, surmount obstacles at all organizational levels and drive commercial behaviors. * **Analytics & Alerts:**Quantitative analysis, data mining and presentation of business metrics; identify drivers and build an end-to-end communication framework based on business value, effort and urgency. * **Process Improvement:**Work with all teams to drive inter- and intra- departmental efficiencies, optimize processes and prioritize system enhancements. * **Reporting:**Build dashboards, internal / external reports and present key datasets to enable all team members to efficiently and effectively monitor performance and prioritize their efforts. * **Leadership:**Lead a small team of experts to deliver the above functions and be excited by the challenge of mentoring team members across the chain and connectivity teams. **What you’ll Need to Succeed:** * 5+ years of leadership experience in analytics/data science/insights/strategy * 2+ years’ experience leading analytics, operational, product or other technical teams * Expert domain of data analysis and data visualization tools and software such as Excel, SQL, Tableau, Python, R, or similar * Strong statistical modelling and machine learning knowledge * Strong experience in finding data insights and provide business recommendation to the business * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Ability to multi-task, prioritize and coordinate resources. * Strong program/project management experience. * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance) * Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus * People management – track record of developing stars * Ability and willingness to drive projects independently, working efficiently to deliver results rapidly and engaging the relevant stakeholders throughout the process **It’s Great if you Have:** * Master’s degree in statistics, economics, mathematics or similar discipline * Experience in conducting A/B testing experimentation * Travel industry / e-commerce / tech / consulting experience #### Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.

Bangkok, ThailandTHB 100,000 - THB 200,000

This role is responsible for end-to-end P&L ownership and driving revenue growth within the advertising ecosystem. The position requires leading long-term marketplace strategy, balancing supply and demand dynamics, and setting monetization models. The ideal candidate will steer cross-functional initiatives involving data science, product, engineering, and commercial leadership to maximize long-term monetization. The role involves designing and optimizing pricing models, defining inventory and placement strategies, and directing teams in diagnosing metric fluctuations. The candidate will serve as the definitive voice for the Ad Marketplace during executive reviews and build a high-performing analytical culture through direct mentoring and workflow establishment.

Bangkok, ThailandTHB 60,000 - THB 100,000

You will lead the end-to-end product lifecycle for AI initiatives, ensuring alignment with business objectives and delivering high-impact solutions. This role requires a strategic mindset to define product vision and translate complex technical concepts into actionable requirements for engineering teams. You will collaborate closely with cross-functional stakeholders, including data scientists, engineers, and business leaders, to prioritize features and drive product success. The position demands a balance of analytical rigor and creative problem-solving to navigate the evolving landscape of artificial intelligence applications. Your primary focus will be on identifying opportunities where AI can create significant value for customers and the organization. You will own the product roadmap, manage backlogs, and ensure that development efforts are focused on delivering measurable outcomes. Success in this role involves making data-driven decisions, managing stakeholder expectations, and continuously iterating on products based on user feedback and market trends.

Bangkok, ThailandTHB 100,000 - THB 200,000

Lead complex data science projects from initial model development through to testing, validation, and deployment. Utilize advanced predictive modeling and data processing tools to optimize customer experiences and drive revenue generation. Communicate key findings and strategic recommendations to diverse stakeholders to support data-driven decision-making. Contribute to cutting-edge research in machine learning and artificial intelligence while actively mentoring junior team members to foster organizational growth.

Bangkok, ThailandTHB 60,000 - THB 120,000

You will collaborate with cross-functional teams to define business problems, quantify key metrics, and explore data to build analytical models. Your work will involve leveraging various data processing tools and exploring data science and machine learning research to drive actionable insights. You will also be responsible for communicating findings and recommendations to stakeholders to support decision-making processes.

Bangkok, ThailandSalary not specified

At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. The Data department 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. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You’ll Get to * Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. * Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation. * Work with developers and a variety of business owners to deliver daily results with the best quality. * Research discover and harness new ideas that can make a difference What You’ll Need to Succeed * 4+ years hands-on data science experience. * Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. * Significant proficiency in SQL and languages like Python, PySpark and/or Scala. * Can lead, work independently as well as play a key role in a team. * Good communication and interpersonal skills for working in a multicultural work environment. It’s Great if You Have * PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields * Experience in NLP, image processing and/or recommendation systems * Hands on experience in data engineering, working with big data framework like Spark/Hadoop * Experience in data science for e-commerce and/or OTA We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.

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