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.

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

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.

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:** 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:** As a Senior 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.

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.

You will collaborate with various teams at Grab, including Country Business, Operations, Marketing, Engineering, and Product, to understand data requirements and identify key metrics. Your role involves providing tailored, data-driven solutions that support the evolving innovation in the Thai market. You will report to an Analytics Manager and work onsite at the Grab office. You will take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions. You will also contribute to analytics-wide frameworks and integrate operations and marketing workflows into established data solutions. Additionally, you will collaborate with stakeholders to align data initiatives with operational goals and communicate analytical solutions to mid-to-senior level partners.

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.

You will collaborate with cross-functional teams across Grab, including Country Business, Operations, Marketing, Engineering, and Product, to understand data requirements and identify key performance metrics. Your role involves delivering data-driven solutions tailored to the evolving needs of the Thailand market. You will report directly to an Analytics Manager and work onsite at the Grab office in Bangkok. You will take end-to-end ownership of medium-sized analytics projects, defining methodologies to ensure reliable, scalable, and reproducible solutions. You will contribute to analytics-wide frameworks and integrate operational and marketing workflows into established data solutions. Additionally, you will mentor junior analysts by sharing technical best practices and guiding problem-solving approaches to help them develop their analytical capabilities.