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Experience:

3 years required

Skills:

Statistical Analysis, Software Development, Kubernetes, Python, NoSQL, ETL, English

Job type:

Full-time

• Key Accountabilities.
• Design and work on all aspects of bringing ML models into production, develop CI/CD pipelines by collaborating with other disciplines such as data engineering, application development, cloud infrastructure, and security to implement AI solutions in production.
• Work collaboratively with data scientists along the machine learning lifecycle from data pipeline, data preparation, model deployment, and model monitoring.
• Understand and assess AI/ML industry trends to leverage technologies, continuously improve efficiency and effectiveness of the existing algorithms; as well as to understand their impact on our AI/ML solutions.
• Provide architectural and technical leadership to drive AI/ML capabilities.
• Initiate innovation and development projects to continuously improve the overall efficiency of the team in the engineering aspect.
• Professional Knowledge & Experiences.
• Degree in computer science or related fields, with concentration in Machine Learning/AI engineering.
• At least 3 years of experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, Neural Networks, etc.). Expertise with Data Science and experience with manipulating/transforming data, model selection, model training, and deployment at scale.
• Knowledge and experience in database technologies, such as SQL, NoSQL, and demonstrate knowledge of databases (Google BigQuery preferred), Data ETL framework (Airflow), ML libraries (scikit-learn, XG Boost, PyTorch, etc.), ML Frameworks (Kubeflow, MLFlow, etc.).
• Knowledge and experience in Kubernetes technology. Be able to develop CI/CD pipeline, deploy workloads, configure and monitor jobs on kubernetes clusters.
• Significant proficiency in Python. Experience working with GCP is preferrable.
• Ability to work in cross functional teams, have team-work mindset, self-motivation.
• Excellent written and verbal communication skills in English.
• Additional Desirable Qualification.
• Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions.
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• CORE Competencies.

Skills:

Marketing Strategy

Job type:

Full-time

• 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.
• 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.
• 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.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 4+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Skills:

Digital Marketing, Data Analysis, Recruitment, Power BI, Tableau, YouTube, Python, Java, SQL, SAS, English

Job type:

Full-time

• 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.
• 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.
• 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.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Experience:

15 years required

Skills:

Electrical Engineering, Industrial Engineering, Enthusiastic, Architecture, Electronics

Job type:

Full-time

• Lead, grow, and develop a distributed team of AI/ML engineers who work across manufacturing sites and solve site-specific operational problems.
• Establish the technical vision, engineering standards, delivery practices, and talent strategy for manufacturing AI across the organization.
• Create a strong partnership model with plant leadership, manufacturing engineering, process engineering, yield, quality, operations, IT, and enterprise data teams.
• Balance local site responsiveness with reusable platforms, common architectures, shared components, and responsible AI practices that scale across plants.
• Set and execute a multi-year roadmap for AI/ML applications in manufacturing, aligned to business priorities and measurable operational outcomes.
• Identify and prioritize high-impact opportunities across process optimization, yield improvement, visual inspection, defect classification, predictive maintenance, anomaly detection, root-cause analysis, quality, scheduling, and engineering productivity.
• Guide the architecture, design, development, validation, deployment, and lifecycle management of production-grade AI/ML systems used in manufacturing workflows.
• Define engineering patterns for data pipelines, feature and model management, experiment tracking, APIs, user interfaces, monitoring, cybersecurity, reliability, and model performance management.
• Ensure solutions work with real manufacturing data and systems, including MES, SPC, QMS, equipment and sensor data, inspection systems, yield systems, ERP, databases, engineering reports, and other structured and unstructured sources.
• Drive disciplined problem definition and value measurement, connecting technical delivery to improvements in cycle time, throughput, yield, scrap, quality, cost, safety, and decision speed.
• Partner with site teams to understand workflows, constraints, process variation, data quality, user needs, and adoption barriers; ensure solutions are usable by engineers, operators, and business stakeholders.
• Build and maintain strong relationships with senior manufacturing and technology leaders, communicating technical tradeoffs, risks, investment needs, and results with clarity.
• Promote effective use of classical machine learning, deep learning, computer vision, optimization, statistical methods, LLMs, and generative AI where they are fit for purpose.
• Establish governance for responsible, secure, explainable, and maintainable AI in manufacturing, including validation, human oversight, change control, and production support.
• 15+ years of progressive experience in software engineering, AI/ML engineering, data science, or a closely related technical discipline, including significant leadership experience.
• Bachelor's or master's degree in engineering, computer science, electrical engineering, industrial engineering, data science, or a related field; advanced technical education is preferred.
• Deep hands-on understanding of software engineering practices, distributed systems, cloud or edge architectures, APIs, data platforms, testing, observability, security, and production operations.
• Practical knowledge of manufacturing processes, process variation, yield, quality systems, equipment data, inspection, traceability, root-cause analysis, and the realities of plant operations.
• Willingness and ability to travel 30% or more to manufacturing sites and partner locations.
• Preferred Qualifications.
• Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
• Experience with manufacturing software and data ecosystems such as MES, SPC, QMS, ERP, equipment automation, inspection platforms, historian systems, and yield management systems.
• Experience scaling AI/ML capabilities across multiple plants, regions, or business units with different processes, data maturity, and operating models.
• Experience applying generative AI, knowledge retrieval, agentic workflows, or LLM-enabled tools to manufacturing, engineering, quality, or operations use cases.
• We are an equal opportunity employer and value diversity at our company.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
• Please contact us to request accommodation.

Skills:

Product Development, Project Management, Automation, Python, CAD, C++

Job type:

Full-time

• Lead the design, development, and testing of advanced robotic systems and components.
• Collaborate with cross-functional teams to develop innovative solutions for automation and robotic applications.
• Manage and oversee multiple projects, ensuring timely completion and adherence to specifications.
• Coordinate with stakeholders to define project requirements, deliverables, and timelines.
• Provide technical guidance and mentorship to junior engineers and team members.
• Stay updated with the latest advancements in robotic technology and integrate relevant innovations into ongoing projects.
• Integrate robotic systems with other hardware and software components.
• Troubleshoot and resolve technical issues related to system integration and performance.
• Develop and implement testing protocols to ensure the reliability and performance of robotic systems.
• Analyze test results and optimize designs based on feedback and performance data.
• Prepare detailed technical documentation, including design specifications, test plans, and user manuals.
• Present project updates and technical findings to stakeholders and senior management.
• Ensure that all robotic systems comply with industry standards, safety regulations, and company policies.
• Conduct risk assessments and implement safety measures in the design and operation of robotic systems.
• Competencies.
• Education Description.
• Education (Max. 2 Major).
• Experience.
• Minimum of [X] years of experience in robotics engineering, with a focus on design and development.
• Knowledge.
• Experience with machine learning and artificial intelligence applications in robotics.
• Familiarity with ROS (Robot Operating System) and other robotics frameworks.
• Knowledge of sensor integration, machine vision, and control systems.
• Previous experience in an R&D environment or with product development in the robotics industry.
• Skills Description.
• Strong proficiency in programming languages such as C++, Python, or similar.
• Experience with robotic simulation software and CAD tools.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
• Proven track record of successfully leading and managing engineering projects.
• Skills (Attribute).
• Key Performance Indicator.
• No Data.
• Apply now.
• Start applying with LinkedIn.
• Apply Now.
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• Information at a Glance.

Experience:

5 years required

Skills:

Data Analysis, Enthusiastic, Architecture, Electronics, Automation

Job type:

Full-time

• Serve as a forward deployed AI engineer embedded with the Bangkok manufacturing team to identify high-impact AI opportunities across process engineering, yield improvement, visual inspection, quality control, operations, and reporting workflows.
• Partner with manufacturing, process, yield, quality, and operations teams to understand workflows, pain points, data sources, and decision-making needs.
• Conduct deep operational assessments at manufacturing sites by observing workflows, interviewing frontline employees, supervisors, trainers, quality leaders, and operat ...
• Design, prototype, and productionize AI/ML solutions for manufacturing use cases, including visual inspection, defect classification, anomaly detection, predictive analytics, root-cause analysis, process optimization, and yield improvement.
• Translate business and manufacturing problems into technical solution designs, including data requirements, model approach, architecture, validation strategy, user interface needs, and deployment path.
• Work with structured and unstructured manufacturing data from databases, equipment logs, inspection systems, MES, yield systems, engineering reports, and other plant data sources.
• Communicate technical concepts clearly to both technical and non-technical stakeholders, including engineers, operators, managers, and senior leaders.
• Mentor local engineers and analysts on AI tools, data science methods, model interpretation, and practical AI adoption in manufacturing workflows.
• 5+ years of experience in data science, machine learning, AI engineering, manufacturing analytics, process engineering analytics, or a closely related technical field.
• Strong hands-on experience developing and deploying AI/ML models in real-world industrial or manufacturing environments.
• Practical experience using LLMs and generative AI tools for data analysis, workflow automation, knowledge retrieval, reporting, or engineering productivity applications.
• Strong programming skills in Python and common AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, OpenCV, and LangChain/LlamaIndex or similar frameworks.
• Experience working with relational databases and SQL, preferably including Oracle or other enterprise database systems.
• Ability to build end-to-end prototypes, including data extraction, model development, backend logic, simple user interfaces, dashboards, APIs, or workflow tools.
• Strong understanding of manufacturing data, process variation, yield analysis, quality systems, equipment data, inspection data, and root-cause analysis methods.
• English communication skills good enough to interact with US and Europe teams.
• Preferred Qualifications.
• Experience in semiconductor, photonics, electronics, optical components, precision manufacturing, or other high-volume advanced manufacturing environments.
• Experience with manufacturing systems such as MES, SPC, yield management systems, equipment automation systems, inspection platforms, or quality management systems.
• We are an equal opportunity employer and value diversity at our company.
• We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
• We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
• Please contact us to request accommodation.

Experience:

2 years required

Skills:

Problem Solving, Data Analysis, Python, SQL, English

Job type:

Full-time

• AI Developer.
• 20/07/2025.
• Collaborate with the Business Intelligence team to identify and integrate valuable data sources while automating data collection and preprocessing workflows.
• Perform in-depth exploratory data analysis (EDA) and statistical evaluations on large datasets to uncover trends, patterns, and actionable insights that support data-driven decision-making.
• Design and implement predictive models to address key business challenges in business empowering stakeholders with accurate forecasts and actionable recommendations.
• Develop and apply advanced machine learning and deep learning models, including solutions leveraging ML, Computer Vision (CV), Natural Language Processing (NLP) and Constraint optimization (CP).
• Work closely with stakeholders to propose innovative, data-driven approaches for improving operational processes and addressing complex business questions.
• Conduct research on emerging data science techniques and advancements in business analytics to refine and improve methodologies.
• Collaborate with machine learning engineers and product teams to deploy and refine AI-driven solutions.
• Create impactful data visualizations in collaboration with the Business Intelligence team to effectively communicate findings and insights.
• At least 2 years of professional experience in data science or related fields.
• Holding a bachelor's, master's, or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or equivalent experience through industry roles, self-learning, or data science boot camps.
• Strong understanding and hands-on experience in the end-to-end data science process, including data cleaning, model development (machine learning or deep learning), validation, and performance testing.
• Strong analytical, problem solving, communication and interpersonal skills.
• Good command in English.
• Strong coding skills and familiarity with relevant programming languages and tools (Python, SQL).
• Adaptable and eager to learn new tools or technologies as needed.
• Experience in following industries is a plus: animal farming and aquaculture, food manufacturing, fresh food supply chain and logistics, fresh food sales and distribution.
• Apply now.
• Start applying with LinkedIn.
• Apply Now.
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• Information at a Glance.

Experience:

2 years required

Skills:

Project Management, Python, English, Thai

Job type:

Full-time

• Demonstrate a deep understanding of machine learning and deep learning models, including solutions leveraging Computer Vision (CV), Natural Language Processing (NLP), and Constraint Optimization (CP).
• Collaborate with the AI Business Partner team to identify and validate pain points suitable for AI-driven solutions.
• Collaborate with AI developer teams to develop AI-driven solutions.
• Conduct research on emerging data science techniques and advancements to refine and recommend methodologies.
• At least 2 years of professional experience.
• in data science or related fields.
• Holding a bachelor's, master's, or Ph.D. in Computer Science, Engineering, Data Science, Mathematics, or equivalent experience through industry roles, self-learning, or data science boot camps.
• Strong understanding and hands-on experience in the end-to-end data science process, including data cleaning, model development (machine learning or deep learning), validation, and performance testing.
• Strong knowledge of statistics, computer vision, or Natural Language Processing (NLP).
• Excellent communication skills, with the ability to explain complex AI techniques to non-technical stakeholders.
• Proven project management experience, showcasing problem-solving, communication, and interpersonal skills.
• Proficiency in both English and Thai.
• Strong coding skills and familiarity with relevant programming languages and tools (Python).
• Adaptable and eager to learn new tools or technologies as needed.
• Apply now.
• Start applying with LinkedIn.
• Apply Now.
• Start.
• Please wait.
• Information at a Glance.

Skills:

Architecture, Automation, Kubernetes, TensorFlow, Python, Docker, Java, SQL, C++

Job type:

Full-time

• การพัฒนา AI & Machine Learning Models.
• Generative AI & Automation Integration.
• MLOps & Infrastructure Management.
• Governance, Security & Compliance.
• การศึกษาและประสบการณ์.
• ปริญญาตรีหรือโท สาขาวิทยาการคอมพิวเตอร์, วิศวกรรมคอมพิวเตอร์, วิทยาการข้อมูล (Data Science), ปัญญาประดิษฐ์ (AI) หรือสาขาที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานในสายงาน AI / Machine Learning Engineer หรือ Data Scientist อย่างน้อย 2-5 ปี.
• หากมีประสบการณ์ในธุรกิจ ธนาคาร, ไฟแนนซ์, สถาบันการเงิน หรือ AMC (บริหารสินทรัพย์) จะได้รับการพิจารณาเป็นพิเศษ.
• ทักษะทางเทคนิค (Technical Skills).
• Programming Languages: Python (เน้นเป็นหลัก), R, C++, Java หรือ SQL.
• AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost, OpenCV, Hugging Face.
• Generative AI & NLP: LangChain, LlamaIndex, OpenAI API, RAG Architecture, Vector Databases (ChromaDB, Pinecone, Milvus).
• MLOps & Cloud: Docker, Kubernetes, MLflow, Airflow, AWS / Azure / GCP.
• Data Processing: Pandas, NumPy, Spark.

Experience:

6 years required

Skills:

Cloud Computing, Architecture, Postgre SQL, Automation, Leadership Skill

Job type:

Full-time

• AI & Advanced Analytics Enablement.
• Lead the design, development, and deployment of enterprise AI, Machine Learning, and Generative AI solutions to support business transformation (e.g., pricing, promotion, automation, recommendation, demand forecasting, customer insights, and intelligent decision support).
• Build and manage scalable data pipelines supporting AI/ML model training, inference, feature engineering, Feature Store, RAG knowledge bases, and LLM applications.
• Develop reusable datasets, AI-ready data products, feature engineering pipelines, and semantic data models for AI Engineers, Data Scientists, and Business Analytics teams.
• Partner closely with AI Engineers to design, deploy, productionize, and scale AI/ML models, LLM applications, Agentic AI, AI Chatbots, Recommendation Systems, and Mobile AI applications.
• Design and maintain data ingestion pipelines for structured, semi-structured, and unstructured data from enterprise systems, APIs, databases, files, event streams, IoT devices, and third-party platforms.
• Develop scalable data pipelines supporting document ingestion, embedding generation, metadata management, vector indexing, and retrieval workflows for RAG applications.
• Identify opportunities to embed AI into business workflows and operational decision-making to improve efficiency, customer experience, and business value.
• Data Platform & Engineering Leadership.
• Own end-to-end enterprise data architecture from source systems to Data Lake, Lakehouse, Data Warehouse, Feature Store, Semantic Layer, and AI-serving layers.
• Design, develop, and optimize scalable ETL/ELT pipelines supporting batch, micro-batch, streaming, and near real-time data processing.
• Design and maintain workflow orchestration for enterprise data pipelines using Databricks Workflows, Apache Airflow, or equivalent orchestration frameworks.
• Develop enterprise-scale Big Data solutions using Apache Spark and distributed computing frameworks.
• Design scalable logical and physical data models while optimizing database architecture for performance, scalability, reliability, and cost efficiency.
• Ensure enterprise data quality, governance, lineage, metadata management, observability, security, and compliance across data platforms.
• Implement automated data validation, monitoring, logging, alerting, and observability to ensure production-grade data reliability.
• Optimize SQL queries, Spark workloads, partitioning strategies, storage formats, and compute resources for maximum performance and cost efficiency.
• Analyze complex technical issues, identify root causes, troubleshoot production problems, and recommend infrastructure and platform improvements.
• Select, evaluate, and integrate modern data engineering tools, cloud technologies, and AI platform frameworks to support evolving business needs.
• Continuously evaluate emerging technologies in Big Data, Lakehouse Architecture, Data Platform Engineering, Cloud Computing, and AI Platform Engineering.
• AI Platform & Infrastructure.
• Build and maintain enterprise AI data infrastructure supporting LLM, RAG, Agentic AI, AI Chatbots, Recommendation Engines, Intelligent Search, and Intelligent Automation platforms.
• Design and implement scalable AI data pipelines supporting batch, streaming, vector search, embedding pipelines, and Retrieval-Augmented Generation (RAG) architectures.
• Design scalable APIs, data services, and integration layers connecting AI applications with enterprise systems and digital platforms.
• Collaborate with AI Engineers to prepare high-quality datasets for LLM fine-tuning, prompt engineering, model evaluation, inference, and continuous model improvement.
• Support deployment and operationalization of AI products using DataOps, MLOps, CI/CD, containerization, and modern software engineering practices.
• Drive continuous improvements in platform scalability, availability, security, observability, resilience, and operational efficiency.
• Team Leadership & Capability Building.
• Lead, mentor, and develop a high-performing team of Data Engineers, AI Engineers, and Analytics professionals.
• Foster engineering excellence through best practices in architecture design, coding standards, testing, code reviews, deployment, technical documentation, and software engineering.
• Drive architecture reviews, technical design reviews, engineering governance, and platform standardization across the engineering organization.
• Define engineering standards, technical roadmaps, platform architecture, and technology strategy aligned with business objectives.
• Collaborate closely with Product Owners, Business Stakeholders, AI Engineers, Data Scientists, Solution Architects, Infrastructure, and DevOps teams.
• Provide hands-on technical leadership with a strong engineering mindset and willingness to troubleshoot complex production systems.
• Promote continuous learning, knowledge sharing, innovation, and adoption of emerging technologies across the engineering team.
• Bachelor's degree or higher in Computer Science, Computer Engineering, Information Technology, Artificial Intelligence, Data Engineering, Management Information Systems, or a related field.
• 6+ years of experience in Data Platform Engineering, Data Engineering, Big Data, or AI Platform development, with experience leading engineering teams.
• Strong experience designing and implementing enterprise-scale Data Lake, Lakehouse, Data Warehouse, or Modern Data Platform architectures.
• Expert proficiency in SQL, Databricks SQL, PostgreSQL, database design, and query performance optimization.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark, Databricks, Delta Lake, Spark SQL, Unity Catalog, and distributed data processing.
• Strong experience designing and developing scalable ETL/ELT pipelines and workflow orchestration.
• Experience with streaming technologies such as Spark Structured Streaming, Kafka, or equivalent.
• Experience building enterprise-scale data platforms supporting AI/ML, Advanced Analytics, and Generative AI applications.

Experience:

2 years required

Skills:

Analytical Thinking, Problem Solving, Architecture, Accounting, Power BI, YouTube, Python, Java, SQL, English, Thai

Job type:

Full-time

• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process.
• here.
• For more information about business solicitation and recruiting scams, please click.
• here.
• We thank you for your interest in ExxonMobil.".
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• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Applied Software Engineering for Data.
• Data Architecture & Strategy.
• Data Integration.
• Data Management.
• Data Visualization.
• Data Modeling.
• Machine Learning.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

Experience:

2 years required

Skills:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

Job type:

Full-time

• 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).
• 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.
• 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.
• 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.
• sanfrancisco.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Experience:

7 years required

Skills:

Software Development, ElasticSearch, Architecture, Kubernetes, Docker, NoSQL, Java, English, Thai

Job type:

Full-time

• LINE MAN Wongnai (LMWN) is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• The search team at LMWN is building the next-generation of recommendations and personalized to provide the best in class to the merchants and users. We are using modern technologies like machine learning to increase the conversion rate. Our mission is to provide state-of-the-art food and restaurant discovery for users to our merchants.
• We are looking for a Staff Software Engineer to join our team. You will play a key role in building a food and restaurant discovery in our LINE MAN and Wongnai application, facilitating and cultivating the engineer team to be a high performance team.
• Working with talented members from a multi-national team (The primary communication language is English) to build our next-generation discovery, recommendation, and personalization search system.
• Develop and research state-of-the-art algorithms in the fields of relevant search using cutting-edge technology.
• Working with the engineering and infrastructure team in building and scaling reliable back-end search services, as well as constantly monitoring and improving the availability, scalability, latency, and efficiency of our platform.
• Guide and mentor the technical design (coding pattern, algorithms, architecture) by making suggestions from a different angle of view for a proposed engineer's design (at LMWN we use the RFC for formal technical review process).
• Coach the engineer to create task breakdown and implementation plans. Also balancing between business impact, quality, and efficiency (technical development and engineering effort, understanding what is 'good enough).
• Design and plan the rollout in the production environment with minimum risk and the fastest impact. We normally run experiments (A/B testing) for the evaluation of each feature.
• Work closely with the product team to see the opportunities in the future and plan our technical design to support them.
• 7+ years of experience in the software development cycle.
• Proficient in at least one programming language for backend services, preferably Go or Java.
• Strong background knowledge in Elasticsearch.
• Ability to establish a high-performance and self-organized work team with suitable processes and procedures.
• Experience with AWS and/or GCP, SQL and/or NoSQL databases, technologies like RabbitMQ, Docker, Kubernetes, and Solr.
• Growth mindset and willingness to learn and teach from others.
• Strong problem-solving and analytical skills in business requirements and be able to suggest technical solutions or recommended workarounds.
• Strong leadership and coaching skills.
• Strong and clear written and verbal communication skills in both Thai and English.
• It'd be Great if you have: (If any).
• Understanding of basic concepts of data science and/or machine learning concepts.
• Have a curious and innovative attitude.
• Good command of English: TOEIC 800 is a plus.
• Good command of Chinese: HSK4 is a plus.

Experience:

5 years required

Skills:

Business Development, Problem Solving, Recruitment, Automation, Tableau, YouTube, Python, SQL

Job type:

Full-time

• 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).
• Location of this job: Bangkok, Thailand (*Not open for remote working.).
• About Agoda.
• Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 2.5 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
• The Supply Analytics team is a team of creative entrepreneurs that develop solutions for Agoda's accommodation partners and promote Agoda's top and bottom-line growth. 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 team is a fast growing and dynamic team within Supply department of Agoda. The team is responsible for developing and scaling a range of marketing solutions for accommodation partners focusing on growth, visibility, conversion, pricing recommendations and financial products, as well as advertising and display marketing solutions for businesses and travel organizations.
• The role sits within the Supply Analytics team under Supply department, where new business ideas, and partnership types are incubated and scaled. The right candidate will play a critical role in shaping the BI team's overall strategy and will lead the execution of new business verticals/opportunities.
• This is a broad scoped role, suited to those with a track record of leading enterprise level BI function and/or creating new and high impact business verticals from scratch, from a consulting, sales or business development background with a strong entrepreneurial mindset. You will be expected to perform opportunity sizing on new business opportunities, build high level business cases to justify your proposals and work closely with Product teams to build out new features and functionalities prior to dealing directly with external partners to negotiate and close deals.
• We are seeking a Senior BI Analyst, to lead strategic and operational initiatives that create both growth and efficiency for the Supply organization. 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.
• 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.
• 4+ years of experience in analytics/data science/insights/strategy.
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• 3+ years of experience with BI & analytics tools (SQL, Tableau, Metabase or PowerBI).
• Experience in conducting A/B testing experimentation (a plus).
• Experience in Python or R (a plus).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge is a plus (regression, logistic regression, random forest, etc.
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• 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.
• Travel industry / e-commerce / tech / consulting experience.
• LI-SV1.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Experience:

2 years required

Skills:

Digital Marketing, Data Analysis, Recruitment, Negotiation, eCommerce, Power BI, Tableau, YouTube, Python, SQL, SAS, English

Job type:

Full-time

• 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 Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.
• Due to continued expansion,.
• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
• Excellent verbal and written communication skills in English.
• 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
• Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
• Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or ecommerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• Skills that foster collaboration and team spirit.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Skills:

Teamwork, Teaching

Job type:

Full-time

• Cognitive Architectures.
• Machine Learning.
• Computer Vision.
• Natural Language Processing.
• Human-centered Design for AI applications.
• Data Science & Data Engineering.
• Cyber security.
• We are interested in applicants who are committed and have a passion for a culturally diverse environment in research and/or teaching, and demonstrate a willingness to nurture a uniquely inclusive environment. By partnering with public & private partners, our researches are focused towards practical AI applications in logistics, retail, agriculture, finance and entertainment technology. We are collaborating with Carnegie Mellon University and leading universities in Thailand in providing top-tier collaborative research and engineering degree programs in Thailand.
• Our core faculty carry a moderate teaching load that allows time for quality research and close involvement with students. We expect you to establish and grow a strong research program, contribute to our teaching mission, and show your passion for mentoring and advising students. We are seeking individuals who have demonstrated commitment to our core values: creativity, quality, innovation, and engineering solutions, all within a diverse and tight-knit community guided by respect and joy of doing.
• Provide a continuing high level of personal commitment to, and achievement in, a particular scholarly area and asa result, generating high level research outcomes.
• Leading research projects and secured supporting resources for research teams.
• Contribute to developing, mentoring and providing feedback to junior researchers.
• Make an effective contribution to teaching and learning in their discipline, modeling teamwork and flexibility to ensure the pedagogical and commercial success of the Faculty and University.
• Contribute to curriculum, resource, program and subject design, development, management and review as required to ensure that learning and teaching in the Faculty and across disciplines reflect best practice and a command of the field.
• Conduct lectures, tutorials, workshops, practical classes, demonstrations, field excursions, clinical sessions and other appropriate learning activities as required.
• Act as a subject coordinator and/or area or discipline coordinator including: managing the area/discipline including providing feedback and contributing to performance management; supervising tutors; carrying out related planning and coordination responsibilities; organizing the preparation and marking of assignments and all examinations; invigilating examinations; and submitting grades.
• Continuously improve their own teaching and learning, including developing a comprehensive teaching portfolio, and contributing to the continuous development and improvement of learning and teaching across the university.
• Ensure that the graduate attributes of the University are embedded in subjects or discipline areas for which they are responsible and that there is explicit relationship between learning and teaching to University objectives.
• Comply with all policies and procedures relating to teaching and learning, making every effort to contribute to the continuous improvement and effectiveness of the administration of teaching and learning.
• Flexible Work Schedule.
• Five-day work per week.
• Group-based health insurance plan.
• Provident Fund.
• Paid Time Off (10 days - annual leave).

Experience:

7 years required

Skills:

Statistical Analysis, Architecture, Recruitment, Big Data, YouTube, Hadoop, Linux, Scala, Java, SQL

Job type:

Full-time

• 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 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.
• 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.
• 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.
• 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.
• 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.
• telaviv.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Skills:

Digital Marketing, Data Analysis, Recruitment, Power BI, Tableau, YouTube, Python, Java, SQL, SAS, English

Job type:

Full-time

• 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.
• 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.
• Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
• Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
• What you'll Need to.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
• Ability to communicate fluently in English.
• 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity.
• It's Great if you.
• Experience in digital marketing.
• Academic research experience.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.

Experience:

3 years required

Skills:

Software Development, Teamwork, Python, SQL

Job type:

Full-time

• Apply statistical and machine learning methods to analyze large and complex datasets, providing insights and actionable recommendations in customer acquisition, segmentation, and personalized marketing areas.
• Collaborate with engineering and business teams to implement end-to-end process from model development to testing, validation, deployment.
• Plan and conduct A/B testing to verify model performance and assess the effectiveness of the campaign for future enhancement.
• Solve complex issues on both technical and business sides using advanced analytical techniques.
• 0 to 3 years of professional experience as a Data Scientist/ML Engineer.
• Proficiency in Python, PySpark, and SQL for large-scale data processing.
• Good understanding and hand-on experience in ML (e.g. classification/regression, tree-based model, clustering, SVMs, PCA) or NLP development.
• Strong analytical and problem-solving skills.
• Good communication and interpersonal skills to effectively interact with cross-functional team.
• Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง.
• Solid understanding of financial industry.
• Comprehensive knowledge of advanced statistical methods and machine learning practices.
• Exceptional coding skills or a background in software development.
• Ability to articulate complex concepts effectively to a non-technical audience.
• Strong sense of responsibility and teamwork.
• Apply now ".

Experience:

4 years required

Skills:

Digital Marketing, Data Analysis, Recruitment, Negotiation, Power BI, Tableau, YouTube, Python, SQL, SAS, English

Job type:

Full-time

• 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 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 has deep experience in data science, product, strategy, and other marketing fields and has 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.
• Due to continued expansion,.
• Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, TripAdvisor, Trivago, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (e.g. understanding the impact on bookings from large-scale TV campaigns or demand elasticity from pricing optimization), and liaise with product teams on an implementation roadmap.
• Reporting, analysis, and insights: Building dashboards to track performance, derive insights, understand growth levers, and communicate recommendations via presentations to stakeholders.
• Bachelor's degree or higher from top university in a quantitative subject e.g. computer science, mathematics, engineering business, science, or relevant field of study.
• 4+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business role for a fast-growing global tech company.
• Experience in one or more data analysis packages or databases, e.g. SQL, SAS, R, SPSS, Python, VBA and visualization tools, e.g. Tableau, Power BI, etc.
• Excellent verbal and written communication skills in English.
• Ability to move fast and be efficient, making decisions on objective data evidence.
• Innate desire to take ownership, make an impact and influence outcomes.
• Excellent organizational skills, attention to detail and ability to work independently.
• Experience in digital marketing or e-commerce.
• Experience with A/B testing and other testing metrics.
• Strong presentation and negotiation skills.
• STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
• Please review our Hiring Process Guidelines before your interview click.
• here.
• to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers.
• https://careersatagoda.com.
• Facebook.
• https://www.facebook.com/agodacareers/.
• LinkedIn.
• https://www.linkedin.com/company/agoda.
• YouTube.
• https://www.youtube.com/agodalife.
• 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.
• 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.