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 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.

This role focuses on leveraging data to drive strategic decision-making and operational excellence within the distribution division. You will be responsible for transforming complex datasets into actionable insights that support both daily operations and long-term business growth. The position requires a strategic mindset to analyze performance trends and optimize business intelligence processes. You will utilize advanced analytical tools to interpret variances and identify key trends that inform business solutions. The role involves close collaboration with stakeholders to ensure data accuracy and relevance. By applying data-driven methodologies, you will help build a healthier, more sustainable future for millions of customers.

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.

This role focuses on driving the lending business within the Grab ecosystem, specifically targeting financial inclusion for Thailand's micro-economy. You will oversee the end-to-end execution of innovative lending projects, requiring a strong analytical mindset and the ability to manage complex stakeholder relationships across various internal departments and external banking partners. The position is based onsite in Bangkok and involves collaborating closely with the Head of Product and Operations to achieve monthly targets. Your daily work will involve running data analyses to identify gaps in lending processes and developing comprehensive process documentation and presentation decks for regional stakeholders. You will support the team with data validation and User Acceptance Testing (UAT) to ensure system improvements and new product launches are executed smoothly. This is an opportunity to work at the forefront of a dynamic FinTech environment where you can directly impact the financial services provided to millions of users.

This internship focuses on building and maintaining automated workflows to optimize logistics performance. You will design and deploy workflows using n8n to connect data streams with internal systems and AI tools. The role involves analyzing performance reports to identify operational bottlenecks and explaining why specific lanes or hubs are underperforming. You will also monitor key performance indicators like success failure rates and lead time compliance to ensure smooth data pipeline operations. The position requires translating complex logistics metrics into clear, automated summaries for management. Additionally, you will collaborate with regional teams to establish actionable control metrics that improve overall lane health. You will help build and maintain simple dashboards to provide the operations team with a clear view of daily performance trends.

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 join Agoda's Display & App Marketing engineering team to build and maintain large-scale systems that power paid marketing campaigns across global advertising channels. Your work will involve managing high-volume hotel feeds, processing advertisement images, and integrating with major advertising platforms like Google Ads and Meta. You will collaborate closely with Marketing, Product, and Data teams to deliver reliable and scalable engineering solutions. This role offers significant exposure to marketing strategy and experimentation, allowing you to shape systems and operational excellence from design through to production support. In this position, you will design and operate backend services and data pipelines specifically for performance marketing use cases. You will take part in the full development lifecycle, including design, implementation, testing, deployment, and production support. You will proactively identify and improve system reliability, scalability, and data quality while actively participating in code reviews and technical discussions. Additionally, you will make critical technical trade-offs regarding performance, quality, and cost.

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering, and HVAC systems in the world. Facility Technicians at Google data centers operate, monitor, and support physical facility conditions. Daily duties include managing heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution, and control and monitoring systems. You will regularly help inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components. You'll provide daily assistance to senior technicians as you read blueprints and schematics, conduct tours of systems, and assess their working order. You will develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures. The team is a diverse, upbeat, creative, and team-oriented group of engineers committed to building and operating powerful data centers.

We are seeking a business intelligence professional to join our team, specializing in retail, consignment, and fulfillment and warehouse operations. This strategic role involves utilizing advanced data analytics, visualization, and reporting tools to optimize business processes, enhance operational efficiency, and inform strategic decision-making across these sectors. The ideal candidate will collaborate closely with cross-functional teams to analyze complex data sets, identify key trends, and deliver actionable insights that drive business growth and customer satisfaction in retail, consignment, and fulfillment contexts.