In the online travel industry, with fast changing user behavior and the increasing role played by price comparison websites, offering the best price grants disproportionate gains. Travelers chose Agoda because they are confident that they can find there the best hotels, at the best price.Success can only be achieved by combining a programmatic approach to optimize volumes and margins in the short term with a strategic approach to take into account the reactions from the other players in the game, from customers to hotels, from competitors to regulatory bodies.To this end, we are looking for a senior leader to craft Agoda’s global marketing strategy and execute upon it, using a wide range of tactics and tools, from price display to machine learning algorithms. You will closely coordinate with Agoda’s senior management, marketing and product teams, while managing and expanding a team of talented pricing campaign managers and analysts. What you will be doing: * Strategy Development: Develop and refine PPC strategy in line with overall business goals and market trends. * Performance Management: Monitor channel performance and efficiency (ROI, spend, and other key KPIs). * Stakeholder Communication: Regularly communicate performance, insights, and recommendations to senior leadership and cross-functional teams. * Process Improvement: Identify and implement process improvements to increase team efficiency and campaign effectiveness. * Vendor/Partner Management: Manage relationships with external partners (e.g., Google, Bing, agencies) and negotiate contracts or terms as needed. * Talent Development: Mentor, train, and develop team members to build skills and support career growth. * Innovation & Experimentation: Foster a culture of testing and innovation, encouraging the team to explore new channels, tools, and bidding strategies. * Insights: Analyze and explore data to seed projects, understand test performance, and execute on key team goals that require complex implementation or analysis. What you need to be good at to succeed in this role: * Strong analytical skills and a passion for working with data to drive business decisions. * Advance proficiency in SQL * Experience in the online travel or e-commerce industry is a plus. * Proven ability to collaborate effectively across teams and cultures. * People management experience, including hiring, coaching, and developing team members. * Experience managing budgets and delivering results against financial targets. * A proactive, entrepreneurial mindset with a strong sense of ownership and a get-things-done attitude. * Exposure to product development, technology, or working with IT teams is an advantage.

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 (WITH RELOCATION PROVIDED) Location: Bangkok, Thailand (*Not open for remote work) Get to Know our Team: As part of the Supply Analytics, you will be responsible for identifying new partners and opportunities, cultivating a relationship with them, and working together with them to deliver the best outcome for our end customers. You would also be responsible with managing the day-to-day interaction with the partner and working closely with other teams within Agoda to ensure the partners needs are met. We design tailored business and product solutions with our partners and help them generate measurable value. Members of our team are empowered and supported to grow their market(s) or accounts. We develop win-win relationships and leverage Agoda’s unique accommodations portfolio and tech solutions to bring our partners the advantages they seek. Utilizing our strong brand and resources, we build new channels to increase the visibility of Agoda, introduce more travelers to our great products and service and deliver significant revenues to the overall business. The Opportunity: As an Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda. In this Role, you’ll get to: * Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) * Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. * Proactively identify opportunities for growth within supply and the wider business. * Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. * Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. * Automate manual operational processes and present back on time savings gained through modernization of business operations What you’ll Need to Succeed: * At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI * Advanced working knowledge and hands-on experience in SQL * Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) * Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) * Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) * Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. * Experience in conducting A/B testing experimentation * Strong experience in finding data insights and provide business recommendation to the business * A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. * Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. * Data driven in both decision making and performance measurement. * Extreme comfort in ambiguous, fast-paced environment. * Ability to multi-task, prioritize and coordinate resources. It’s Great if you Have: * MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). * Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. * Asian market experience. * Travel industry / e-commerce / tech / consulting experience.

Job Description * Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions * Extract insights from large and complex datasets using a variety of tools and techniques * Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling * Present findings and recommendations to stakeholders in a clear and compelling manner * Implement data-driven solutions in various environments, including integration with existing systems and processes * Stay up to date on the latest development in data science and bring new idea and technology to the team * Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time Qualifications * Bachelor’s or Master’s degree in data science, Computer Science, Statistics, or related field * 4+ years of experience as a Data Scientist, with a focus on industries * Descriptive Analytics * Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path) * Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases * Experience with statistical and machine learning techniques * Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others * Experience with data visualization tools such as Looker Studio, Tableau, and Power BI * Strong problem-solving and communication skills * Experience with Cloud technology and databases (Cloud AWS, Azure, GCP) * Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery

**Roles and Responsibilities** * Design and implement scalable, reliable, and efficient data pipelines for ingesting, processing, and storing large amounts of data from a variety of sources using cloud-based technologies, Python, and PySpark. * Build and maintain data lakes, data warehouses, and other data storage and processing systems on the cloud. * Write and maintain ETL/ELT jobs and data integration scripts to ensure smooth and accurate data flow. * Implement data security and compliance measures to protect data privacy and ensure regulatory compliance. * Collaborate with data scientists and analysts to understand their data needs and provide them with access to the required data. * Stay up-to-date on the latest developments in cloud-based data engineering, particularly in the context of Azure, AWS and GCP, and proactively bring new ideas and technologies to the team. * Monitor and optimize the performance of data pipelines and systems, identifying and resolving any issues or bottlenecks that may arise. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. * Minimum of 5 years of experience as a Data Engineer, with a strong focus on cloud-based data infrastructure. * Proficient programming skills in Python, Java, or a similar language, with an emphasis on Python. * Extensive experience with cloud-based data storage and processing technologies, particularly Azure, AWS and GCP. * Familiarity with ETL/ELT tools and frameworks such as Apache Beam, Apache Spark, or Apache Flink. * Knowledge of data modeling principles and experience working with SQL databases. * Strong problem-solving skills and the ability to troubleshoot and resolve issues efficiently. * Excellent communication and collaboration skills to work effectively with cross-functional teams.

About Agoda 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. Get to Know Our Team The Engineering department oversees all Agoda’s ML and software related requirements. Our goal is to enable and increase Agoda’s business through creative approaches and the implementation of powerful resources such as operational and analytical databases, ML driven solutions, queue systems and data monitoring tools. 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 engineering team plays at Agoda is critical as business users, product managers, 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 ML engineering squad, but also the reward. We work across structured and non-structured data at scale. For example, our current ML models process millions of images every day to try and enhance the experience that our users get from our app. Why Agoda Engineering Team? Our engineering team is at the intersection of Data Engineering, Business Analytics, ML Engineering, and Backend Engineering. We focus on software engineering related to processing big data, helping the Data Science team and Performance Marketing team launch experiments by providing our users with ML/data pipelines/platforms/tools to enable our company to validate strategic decisions, make smarter choices, and react to the fast-changing world. We are a small but passionate team with people from different nationalities working together on a single goal. In this Role, you will get to: * Lead the team technically in improving scalability, quality, accuracy, speed, and efficiency of our existing Data and ML processes * Able to analyze data to help us make better decisions * Design/build/test tools, libraries, pipelines, and platforms to help Data Science and Business team to launch experiments in Production * Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis / ML tasks * We believe in end-to-end ownership; this role will involve taking and building systems that enable us to launch experiments in production at a rapid pace What You’ll need to Succeed: * Bachelor’s degree in computer science/information systems/engineering/related field 6+ years of experience in software engineering with at least 4+ years in data/ml engineering * Expert in designing/writing/maintaining data pipelines and systems while ensuring data quality * Expert in SQL, Python3, and JVM based programming language – ie, Java or Scala * Expert in software design/design patterns/best practices, functional programming and object-oriented programming. * Be comfortable navigating the following technology stack: Python3, Scala Spark, Hadoop, SQL, S3 etc. * Familiar with general Machine Learning concepts and common models – ie, regularization, Tree Models, etc * Familiar with statistical analysis concepts – ie, p-value, z-score, etc * Analytical problem-solving capabilities & experience. A strong data-driven engineering driven mindset will be required to succeed in this role. It’s great if you have: * Good understanding of Hadoop ecosystems and Big Data architecture and technologies * Experience with Scala/Scala Spark development * Working in an agile environment using test driven methodologies * Systems administration skills in Linux Benefits * Hybrid Working Model * WFH Set Up Allowance * 30 Days of Remote Working from anywhere globally every year * Employee discount for accommodation globally * Global team of 90+ nationalities * 40+ offices and 25+ countries * Annual CSR / Volunteer Time off * Benevity Subscription for employee donations * Volunteering opportunities globally * Free Headspace subscription * Free Odilo & Udemy subscriptions * Access to Employee Assistance Program (third party for personal and workplace support) * Enhanced Parental Leave * Life, TPD & Accident Insurance Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our [privacy policy](https://careersatagoda.com/privacy-statement). Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee. Apply Now Senior/Staff Data Engineer – Bidding (Bangkok based, relocation provided) +93 Given that the majority of our team is based in Bangkok, would you be open to relocating there? We offer visa sponsorship and comprehensive relocation assistance. Do you as a candidate have a personal relationship with a current Agoda employee? If yes, please indicate how you know the employee? What is the employee’s name? Have you read our Engineering blog? (https://medium.com/agoda-engineering) Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? In which country/region are you currently based? Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. How did you hear about this job? Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters

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. **Get To Know Our Team:** Join a small platform team building the next generation of natural-language analytics at Agoda. You will own the governed knowledge layer between our data warehouse and the applications, assistants, and analysts that consume it: metrics, domain context, quality signals, and the APIs that expose them. This is semantic modeling and knowledge engineering, not dashboard reporting or model training. **The Opportunity:** * You will design and operate the shared knowledge layer behind conversational analytics at Agoda: turning scattered business knowledge into versioned, reviewable assets that return consistent, current answers. * You pair with a senior tech lead on product architecture. Your scope is the layer itself (models, context, validation, governance workflows) and how it is exposed through service and agent interfaces. **What You’ll Do:** * Model governed metrics, dimensions, joins, and grain for business domains * Structure expert context, glossaries, and validated question patterns as Git-reviewed assets * Build freshness, drift, and validation signals; treat stale knowledge as a production issue * Expose the layer through APIs so applications and agents get deterministic answers * Enable domain owners to propose, review, and publish knowledge without engineering deploys * Partner across analytics, product, and platform teams on access control and quality standards **Required Qualifications:** * 4+ years in BI, analytics engineering, data platform, or software engineering with heavy data modeling * Semantic or metrics-layer experience (LookML, dbt metrics, or equivalent) * Strong SQL and analytical modeling on OLAP / warehouse systems * Knowledge engineering: versioned definitions, peer review, contributor workflows * API / service mindset: you design for multiple consumers, not a single dashboard * Clear communication across engineering, analytics, and product partners **Preferred Qualifications:** * Open-source semantic layer engines (Cube, MetricFlow patterns) * Agent or tool-interface experience for LLM-powered applications * NL-to-data products, retrieval, or evaluation harnesses * Python or Node.js service development * Large-scale e-commerce or travel analytics environments

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, and is open to candidates worldwide. We offer a generous relocation package to ensure a smooth transition to living and working in Bangkok. **Get to Know our Team:** The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. **In this Role, you’ll get to:** * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. **What you’ll Need to Succeed:** * 2–3 years of experience * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science) * Strong English communication * Solid business acumen * Strong statistical and analytical skills * Proficient in Excel and hands-on with data tools (SAS, R, SPSS, Python, VBA, SQL, Tableau) * Experience designing and analyzing A/B tests * Works independently on daily analytics tasks and provides business recommendations **It’s Great if you Have:** * Experience in digital marketing * Academic research experience

This role focuses on workforce fulfillment metrics. The Data Analyst will maintain and enhance performance dashboards to provide actionable insights. Responsibilities include managing and improving databases to ensure data integrity and scalability. The position requires analyzing workforce data to identify trends and support decision-making for operational improvements.

The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for Agoda's highest-impact opportunities. This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. The position requires extensive hands-on experience in data science, machine learning, and statistics, along with strong Python and SQL skills. Candidates must be able to influence senior stakeholders and communicate clearly across technical and non-technical audiences.

This role supports internal management decision-making by producing business performance analysis and economic information of business activities. The position involves establishing management and execution plans, conducting financial supports, and optimizing internal policies and procedures based on business accounting standards. Key duties include participating in monthly reports on management activities, analyzing profits, and managing production cost models. The role requires a professional with a deep understanding of specialized areas, strong analytical skills to evaluate data, and the ability to work with minimal instruction on new assignments.