เงื่อนไขการค้นหา

ทักษะ:

Big Data, Power BI, Python

ประเภทงาน:

งานประจำ

• Data Modeling & Machine Learning: พัฒนา ทดสอบ และนำ Machine Learning Models ไปใช้งานจริง (Production) เพื่อสนับสนุนการแก้ไขปัญหาและสร้างโอกาสทางธุรกิจ เช่น Sales Forecasting, Optimization, Fraud Detection และ Use Cases อื่น ๆ ที่เกี่ยวข้อง.
• Advanced Analytics: วิเคราะห์ข้อมูลโดยใช้เทคนิคทางสถิติขั้นสูงและ Algorithms เพื่อค้นหารูปแบบ (Patterns) ความสัมพันธ์ และข้อมูลเชิงลึกจากข้อมูลขนาดใหญ่ (Big Data) ตั้งแต่ขั้นตอน Data Exploration ไปจนถึง Advanced Analytics.
• Dashboard & Reporting: พัฒนา ดูแล และปรับปรุง Dashboard ด้วย Power BI เพื่อใช้ติดตาม ...
• Business Analysis: วิเคราะห์ข้อมูลเพื่อค้นหา Insights แนวโน้ม (Trends) โอกาสทางธุรกิจ และสาเหตุของปัญหา เพื่อสนับสนุนธุรกิจต่าง ๆ ภายใน BCP Group เช่น Marketing, Refinery, Solar, Biofuel และธุรกิจอื่น ๆ ที่เกี่ยวข้อง.
• Data Interpretation & Business Insights: แปลผลข้อมูลและผลการวิเคราะห์ให้เป็นข้อเสนอแนะที่สามารถนำไปปฏิบัติได้ (Actionable Insights) เพื่อเพิ่มรายได้ ลดต้นทุน หรือเพิ่มประสิทธิภาพในการดำเนินงานของธุรกิจ เช่น โรงกลั่นน้ำมัน สถานีบริการ และธุรกิจอื่น ๆ.
• Insight Communication: จัดทำ Data Visualization และนำเสนอผลการวิเคราะห์ที่ซับซ้อนให้อยู่ในรูปแบบที่เข้าใจง่าย สามารถสื่อสารกับผู้บริหารและหน่วยงานธุรกิจได้อย่างมีประสิทธิภาพ โดยสามารถใช้ Power BI ในการนำเสนอข้อมูลได้เป็นอย่างดี.
• Business Value Delivery: สามารถเชื่อมโยงผลงานด้าน Data & Analytics ให้เกิด Business Value ที่วัดผลได้ และรับผิดชอบ KPI ที่เกี่ยวข้องกับคุณค่าทางธุรกิจ เช่น Revenue Enhancement, Cost Saving, Productivity Improvement หรือ Efficiency Improvement.
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูง.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี.
• พฤติกรรมและคุณลักษณะที่คาดหวัง (Behavioral Competencies).
• Collaboration & Teamwork: มีทัศนคติในการทำงานเป็นทีม พร้อมให้ความร่วมมือและสนับสนุนเพื่อนร่วมงานเพื่อให้ทีมสามารถบรรลุเป้าหมายร่วมกัน.
• Business Mindset: สามารถมองงานด้าน Data & Analytics ในมุมมองของธุรกิจ และมุ่งเน้นการสร้างผลลัพธ์ที่สามารถนำไปใช้ประโยชน์และสร้างคุณค่าให้กับองค์กรได้จริง.
• Problem Solving: มีความสามารถในการวิเคราะห์ปัญหาอย่างเป็นระบบ สามารถค้นหาสาเหตุและนำข้อมูลมาใช้ในการพัฒนาแนวทางแก้ไขที่เหมาะสม.
• Communication: สามารถสื่อสารข้อมูลเชิงเทคนิคและผลการวิเคราะห์ให้ผู้ที่ไม่มีพื้นฐานด้าน Data เข้าใจได้อย่างชัดเจน.
• Ownership & Flexibility: มีความรับผิดชอบต่องาน มีความยืดหยุ่น และพร้อมสนับสนุนงานในช่วงเวลาที่จำเป็นเพื่อให้งานหรือโครงการสามารถดำเนินการได้ตามเป้าหมาย.
• ลักษณะและเงื่อนไขการทำงาน (Working Conditions).
• สามารถปฏิบัติงานประจำสำนักงานตามเวลาทำงานของบริษัท 5 วันต่อสัปดาห์.
• สามารถสนับสนุนงานด้าน Data Preparation, Data Loading, Data Cleansing หรือการนำระบบขึ้น Production นอกเวลาทำงานปกติหรือในวันหยุดได้เป็นครั้งคราว ตามความจำเป็นของโครงการ.

ทักษะ:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

ประเภทงาน:

งานประจำ

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Statistical Analysis, Problem Solving, Automation, TensorFlow, Leadership Skill

ประเภทงาน:

งานประจำ

Are you ready to unleash your potential? At Deloitte, our purpose is to make an impact that matters for our clients, our people, and the communities we serve. We believe we have a responsibility to be a force for good, and WorldImpact is our portfolio of initiatives focused on making a tangible impact on society's biggest challenges and creating a better future. We strive to advise clients on how to deliver purpose-led growth and embed more equitable, inclusive as well as sustainable business practices. Hence, we seek talented individuals driven to excel and innovate, working toget ...

ทักษะ:

Digital Marketing, Statistics, Python

ประเภทงาน:

งานประจำ

• Bachelor's Degree or higher in Computer Science, Computer Engineering, Data Science, Statistics, or any related field.
• Minimum of 2 years in AI/ML engineer, cloud solution or a related field.
• Proficiency in some of the following: Python, PySpark and SQL etc.
• Experience or strong interest in digital marketing, MarTech, and AdTech, especially data-driven marketing strategies is a plus.
• Experience in building tools / models to support retention, up-cross selling, optimization, mobile app data and digital marketing is a plus.
• Ability to communicate and collaborate with cross-functional teams.
• Growth mindset and openness to continuously learning and facing new projects and new technologies.
• Contact: K.Wannaporn 02------866.
• You have read and reviewed Krung Thai Bank Public Company Limited's Privacy Policy at https://krungthai.com/th/content/privacy-policy. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
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ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department.
• Bank of Ayudhya Public Company Limited.
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120.
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Multitasking, Teamwork, Tableau, Python, Scala, Java, SQL, English, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai 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.
• We are looking for an experienced Data Scientist to oversee the research, working in ...
• Work closely with business teams to uncover insights and opportunities to effectively solve business problems.
• Gather requirements and build predictive machine learning models to guide decision making process.
• Design trustworthy AB testing experiments and evaluate the results.
• Work closely with the data engineering and product team on data collection and deploying models into production.
• Communicate actionable insights to stakeholders, senior management and decision makers through effective data visualization and presentation.
• Bachelor Degree in Computer Science, Statistics, Data Analytics, Business Administration, or related fields.
• 2+ years of experience in relevant fields.
• Strong SQL skills.
• Well versed in programming languages commonly used for data science such as Python, R. Knowledge of Java, Scala is a strong plus.
• Proven experience building models, deploying models into production, optimization and solving those problems at scale.
• Good understanding of distributed data systems, mathematics such as linear algebra, statistics and probability.
• Ability to use BI Tools such as Tableau, data studio.
• Have a growth mindset and willingness to learn new things and share knowledge with others.
• Great communication skills, organization skills, multitasking and teamwork.
• A good command of English and Thai.
• Experience in implementing search/recommendation systems.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Analytical Thinking, Data Analysis, TensorFlow, Big Data, Python, Hadoop

ประเภทงาน:

งานประจำ

• At Gosoft (Thailand) Co., Ltd., we are looking for an experienced.
• AI and Data Scientist.
• to lead the development of advanced AI and machine learning solutions that drive innovation and business impact across our digital platforms.
• In this role, you will design and deploy large-scale machine learning systems, develop advanced analytical models, and translate complex data into strategic insights. You will collaborate with cross-functional teams including engineering, product, and business stakeholders to solve high-impact challenges in the retail and e-commerce ecosystem.
• Our team builds data-driven solutions that support platforms such as.
• 7-Eleven Thailand.
• and.
• 7-Delivery., including Search Engines, Recommender Systems, Demand Forecasting, Customer Analytics, and other AI-powered retail solutions.
• Lead the.
• design, development, and deployment of advanced machine learning and AI solutions.
• to solve complex business problems.
• Develop and implement.
• predictive models, recommendation systems, forecasting models, and optimization algorithms.
• Architect and deploy.
• end-to-end machine learning pipelines., from data ingestion and feature engineering to model deployment and monitoring.
• Analyze large-scale structured and unstructured datasets to uncover.
• actionable insights and strategic opportunities.
• Collaborate with engineering, product, and business teams to translate.
• business challenges into scalable data science solutions.
• Drive the adoption of.
• best practices in machine learning, experimentation, and model governance.
• Provide.
• technical leadership and mentorship.
• to data scientists and data engineers.
• Evaluate and integrate.
• state-of-the-art AI/ML techniques.
• including deep learning, large language models, and advanced analytics.
• Work closely with data engineering teams to ensure.
• robust data pipelines and scalable ML infrastructure.
• Communicate insights and technical findings to both.
• technical and executive stakeholders.
• Required.
• Bachelors or Masters degree in.
• Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6-10+ years of experience.
• in data science, machine learning, or AI-related roles.
• Strong expertise in.
• machine learning, statistical modeling, and advanced analytics.
• Proficiency in.
• Python and data science ecosystems.
• (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience designing.
• end-to-end machine learning pipelines and production ML systems.
• Strong experience working with.
• large-scale datasets and big data technologies.
• Ability to translate.
• complex data analysis into business insights and strategic recommendations.
• Strong problem-solving, analytical thinking, and leadership capabilities.
• Excellent communication skills and the ability to present technical concepts to.
• both technical and non-technical stakeholders.
• Preferred.
• Experience in.
• retail, e-commerce, or recommendation systems.
• Experience with.
• search ranking, recommender systems, personalization, or demand forecasting.
• Familiarity with.
• cloud platforms.
• such as AWS, Azure, or GCP.
• Experience with.
• big data technologies.
• such as Spark, Hadoop, or Databricks.
• Experience deploying models using.
• MLOps frameworks and tools.
• Knowledge of.
• deep learning, NLP, or generative AI.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Statistical Analysis, English

ประเภทงาน:

งานประจำ

• Develop end-to-end AI and machine learning solutions that transform business challenges into scalable, production-ready applications. You will work across the full lifecycle of data products from business requirement analysis and model development to backend integration and deployment leveraging Generative AI and advanced analytics technologies.
• Collaborate with business stakeholders to gather requirements and translate business challenges into data-driven solutions.
• Analyze and explore data to identify insights, develop features, and prepare datasets for machine learning applications.
• Design, develop, validate, and optimize machine learning and Generative AI models for real-world business use cases.
• Build and integrate backend services, APIs, and machine learning pipelines into production environments.
• Develop scalable Retrieval-Augmented Generation (RAG) and Large Language Model (LLM)-based solutions.
• Design and maintain robust data pipelines while ensuring data quality and reliability.
• Apply statistical analysis, optimization techniques, and machine learning algorithms to solve complex business problems.
• Work closely with cross-functional teams including business users, domain experts, infrastructure engineers, and product teams to deliver end-to-end AI solutions.
• Continuously improve AI models, system performance, and deployment processes to ensure scalable and maintainable solutions.
• Stay updated with emerging AI, machine learning, and data science technologies to drive innovation within the organization.
• Bachelor's or Master's in Data Science, Computer Science, Statistics, Computer Engineering, Robotics & AI, or related fields. (Bachelor GPA > 2.70, Master GPA > 3.30).
• 1-3 years of experience in Data Science, Analytics, Machine Learning, or Generative AI.
• Strong understanding of Machine Learning, Statistics, Optimization, and Data Analytics.
• Hands-on experience with Generative AI, Agentic AI, Computer Vision, NLP, or LLM technologies.
• Experience designing end-to-end machine learning solutions, scalable AI systems, data pipelines, and backend integration.
• Strong programming and software engineering fundamentals with the ability to develop production-ready applications.
• Analytical mindset with excellent problem-solving and communication skills.
• Able to collaborate effectively with cross-functional teams and translate business requirements into technical solutions.
• Good command of English in verbal and written communication (TOEIC > 550).
• Willing to work onsite at SCG Packaging Public Company Limited (Bang Sue, Bangkok).

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Recruitment, Big Data, YouTube, Python, Hadoop, Scala, SQL

ประเภทงาน:

งานประจำ

• 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.
• The Opportunity.
• 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.
• 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.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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.

ทักษะ:

Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

• Collaborate with stakeholders to determine data collection needs and appropriate data resources for specific projects or initiatives.
• Responsible for development, deployment and sustainment of algorithm and data model.
• Evaluate and recommend other database & analytics technologies.
• Participate in special projects and performs other duties as assigned.
• Experience in SQL, Python/R and data visualization (e.g. Tableau/PowerBI).
• Perform advanced analysis (hypothesis testing, predictive model, clustering, etc).
• Excellent communication skills (verbal and written).

ทักษะ:

Statistical Analysis

ประเภทงาน:

งานประจำ

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Multitasking, Architecture, Teamwork, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai 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.
• We are looking for an experienced Data Scientist to oversee the research, working in ...
• Improve Recommendation Services.
• Building deep knowledge around LINE MAN Wongnai's business related to recommendation services.
• Building on, developing, and enhancing the architecture of the interconnected network of predictive and analytic data models.
• Building scalable prototypes of data tools for testing and proof-of-concept.
• Data and Analytics.
• Analyzing results of experiments with rigorous statistical methods to conclude and suggest strategies to improve the business of LMWN.
• Performing data enrichment and profiling through inferential statistics based on multi-dimensional customer and merchant behavioural data.
• Identifying growth opportunities by analyzing LINE MAN Wongnai's vast amounts of data, develop models that can be used for optimization to ensure platform's growth.
• Technology.
• Researching and building new technological to enhance recommendation capabilities for LMWN.
• Knowledge in natural language processing, information retrieval domain, or knowledge graph is a plus.
• Bachelor Degree in Computer Science, Statistics, Data Analytics, or related fields.
• 3-7 years of experience in data science, statistical or mathematical research, operations research, or complex data modeling and analytics.
• Evidence of previous projects (personal or work-related) with complex analytics and statistical/machine learning techniques using R/Python.
• Strong SQL skills.
• Good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints.
• Familiarity with the mathematics underpinning analytics (linear programming, linear algebra, convex optimisations, etc.) is a plus.
• Great communication skills, organization skills, multitasking and teamwork.
• A good command of English and Thai.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Multitasking, Accounting, Teamwork, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better. We empower all local businesses by creating an end-to-end ecosystem through our channel LINE MAN and Wongnai to connect and improve the daily life of consumers, riders, and local businesses nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced Data Scientist to lead the science behind our Fina ...
• Credit Risk Modeling & Measurement.
• Develop, implement, and maintain core credit risk models, including application scorecards, behavioral models, and PD / LGD / EAD estimation frameworks.
• Leverage diverse data sources transactional, behavioral, financial, sequential and alternative unstructured data for feature engineering and model innovation.
• Own ECL measurement and monitoring, ensuring models accurately reflect portfolio risk across products, cohorts, and vintages.
• Design robust model evaluation, back-testing, and recalibration processes to maintain performance under changing borrower behavior and market conditions.
• Quantify and manage trade-offs between disbursement growth, risk appetite, and profitability.
• Experimentation.
• Design and analyze controlled experiments or policy tests (e.g., limit changes, approval threshold adjustments) to measure causal impact on risk and profitability.
• Ensure changes to credit policies are supported by rigorous evidence and clearly understood risk implications.
• Cross-Functional Collaboration.
• Partner closely with the business team, product, engineering, accounting and operations to align modeling outputs with operational constraints and business objectives.
• Support model governance, documentation, and audit requirements, including alignment with internal risk frameworks and regulatory expectations.
• Bachelor Degree in Computer Science, Statistics, Quantitative Finance, Economics, or related fields.
• 5+ years of experience in data science, credit risk, or quantitative modeling; experience in BNPL, consumer lending, or fintech is strongly preferred.
• Strong understanding of PD, ECL, and portfolio risk concepts, with the ability to visualize and translate them into practical business decisions.
• Strong Python and SQL skills.
• Great communication skills, organization skills, multitasking and teamwork.
• Good command of English and Thai.

ทักษะ:

Automation

ประเภทงาน:

งานประจำ

• Work with Business Analysts, Product Owners, Project Managers, and business users to understand manual processes, repetitive tasks, control points, handoffs, and pain points that can be simplified, automated, or redesigned.
• Translate business problems into practical data, analytics, AI, or automation use cases.
• Contribute ideas for new AI, technology, analytics, and automation initiatives aligned with Persistency Tribe priorities and transformation principles.
• Support prioritization of use cases by assessing business value, feasibility, data availability, complexity, and adoption readiness.
• Help define expected outcomes, success measures, user requirements, and practical implementation considerations.
• Build Data, AI, and Automation Solutions.
• Build and support practical tools for real business use cases, including prediction models, GenAI tools, text-to-SQL solutions, exception detection, data validation routines, dashboards, workflow automation, and scripts that reduce recurring manual effort.
• Support GenAI-assisted commentary and management narrative preparation by validating source data, checking consistency, and ensuring outputs are grounded in approved and reliable information.
• Test, validate, and refine outputs to ensure accuracy, usability, and business relevance before deployment or user release.
• Drive Adoption and Train Users.
• Help Persistency Tribe users build confidence in using data, AI, automation tools, dashboards, and GenAI solutions safely and effectively.
• Support preparation of practical training materials covering AI, data, analytics, automation, dashboards, GenAI usage, and responsible technology adoption.
• Assist in user clinics, demos, training sessions, knowledge-sharing activities, and hands-on support to improve adoption of new tools and ways of working.
• Create simple user guides, FAQs, use-case examples, prompt examples, and do-and-don't guidance for responsible AI and technology usage.
• Track usage, adoption, feedback, and pain points to identify opportunities for improvement.
• Support change champions and business users in embedding new tools and solutions into regular business processes.
• Collaborate, Govern, and Document.
• Maintain clear documentation for datasets, automation logic, analytical assumptions, model outputs, GenAI prompts, testing results, user guides, and solution handover materials.
• Support documentation required for usage tracking, auditability, data governance, AI governance, model governance, and responsible AI controls.
• Work closely with Business Analysts, Product Owners, Project Managers, Data Science, IT, Risk, Compliance, and business users to ensure deliverables are understood, adopted, and embedded into business processes.
• Participate in knowledge-sharing activities to uplift data, technology, automation, and AI capability of tribe members.
• Continuous Improvement and Capability Uplift.
• Identify opportunities to improve existing reports, processes, workflows, automation tools, analytical outputs, and user experiences.
• Support the standardization and reuse of data assets, analytical logic, automation components, prompt templates, and training materials.
• Stay informed about practical developments in analytics, automation, GenAI, and emerging technologies that may benefit Persistency Tribe transformation.
• Contribute to a culture of experimentation, responsible innovation, continuous improvement, and data-driven decision-making.
• Experience in insurance, finance, actuarial, agency, persistency, conservation, campaign, or customer analytics.
• Experience in transformation, product development, consulting, or business improvement initiatives where the candidate helped build a solution and drive user adoption.
• Knowledge of finance reporting, FP&A, controllership, actuarial processes, or insurance business operations.
• Experience with automation tools, self-service analytics platforms, workflow tools, or low-code/no-code platforms.
• Experience supporting GenAI use cases, prompt design, AI-assisted reporting, or data-driven narrative generation.
• Experience helping users through change, conducting training, preparing user guides, or supporting adoption of new tools.
• Familiarity with data governance, AI governance, model governance, information security, or audit requirements.
• เพื่อให้เป็นไปตามมาตรฐานและนโยบายการคัดสรรบุคลากรของบริษัท เอไอเอ (ประเทศไทย) หลังผ่านการคัดเลือกแล้ว ผู้สมัครต้องได้รับการตรวจประวัติอาชญกรรมก่อนเริ่มงาน ทั้งนี้ บริษัทจะเก็บประวัติอาชญากรรมของท่านตามนโยบายข้อมูลส่วนบุคคลของบริษัท รายละเอียดตามลิงค์แนบ [https://www.aia.co.th/th/about-aia/privacy/candidate].
• In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link [https://www.aia.co.th/th/about-aia/privacy/candidate].

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, Python, SQL

ประเภทงาน:

งานประจำ

• Architect Marketplace Mechanisms: You will own the economic logic for the main pillars of our platform (Supply, Growth, Pricing, or Dispatch). You will design the incentives and clearing mechanisms that keep our marketplace healthy and efficient.
• Decode Economic Behavior: You will build models to understand why users and partners make the choices they do. Your insights will move us beyond treating users as metrics, helping us build a more engaging, human-centric marketplace.
• Be the Authority on Causal Truth: You will apply quasi-experimental methods and stru ...
• Solve Big, Ambiguous Questions: You will help build the research agenda for the "unknowns" of our marketplace. You will investigate foundational topics like long-run market dynamics, system efficiency frontiers, and partner choice architecture to shape our multi-year vision.
• Simplify Strategy: You will distill immense complexity into clear, applicable mental models. You will partner with senior leadership to cut through the noise, helping them define the true goals and principles of the business.
• What Essential Skills You Will Need.
• Industry Experience: At least 5 years of experience with marketplace design, pricing strategy or economic consulting.
• Econometrics: Expertise in causal inference techniques like difference-in-differences and regression discontinuity.
• Structural thinking: ability to build models predicting market equilibrium and effects of pricing changes.
• Technical proficiency: SQL and statistical programming (R, Python) is necessary.
• Strategic Communication: ability to simplify complex economic concepts to partners and influence decisions.
• Experience with economic logic, structural thinking, and causal analysis, regardless of their tenure in industry.
• A Master's/PhD degree in Economics, or a related field is preferred.
• Additional Information.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

ทักษะ:

Good Communication Skills, Tableau, Python, SQL, English, Thai

ประเภทงาน:

งานประจำ

• Analytics Process & Framework Improvement:- Take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions.
• Contribute to analytics-wide frameworks and integrate operations/marketing workflows into established data solutions.
• Influence & Stakeholder Collaboration:- Collaborate with direct stakeholders and adjacent cross-functional teams to align data initiatives with operational goals.
• Communicate analytical solutions to mid-to-senior level partners, providing data-backed rationale to support decision-making.
• Data Solutions and Innovation:- Explore and propose workable, optimal solutions to challenges considering technical and operational constraints.
• Proactively address blockers within the team to keep projects moving forward.
• Mentorship & Team Growth:- Mentor junior analysts by sharing technical best practices, guiding problem-solving approaches, and helping them develop their analytical capabilities.
• Consistently seek out opportunities to improve personal technical skills and upgrade internal team processes and frameworks.
• What Essential Skills You Will Need.
• 4 years+ of analytical experience conjugated with business acumen, preferably in the e-commerce or the Internet industry.
• Bachelor's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.
• Advanced experienced of analytical tools such as Excel (VBA, Pivot), database querying (SQL, Presto, Hive), visualisation and reporting tools (Tableau, PowerBI, Holistics).
• Advanced experience of programming languages (Python, R).
• Strong ability to work with complex data sets.
• Good communication skills to translate analytics specificities for all audiences.
• Full professional working proficiency in English is required, on top of fluency in Thai.
• Additional Information.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

ทักษะ:

Digital Marketing, Recruitment, Automation, Salesforce, English

ประเภทงาน:

งานประจำ

• MAP | WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, ...
• About WPP.
• MAP is part of.
• WPP., the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel.
• Please note that this job is a full-time, entry-level position located in Bangkok, Thailand.
• This position is open to candidates who already have the legal right to work in Thailand.
• The application and selection process will be conducted in English.
• The applicant must be able to attend the in-person interview at our Bangkok office.
• Would you like to become an expert in cross-channel marketing execution? Are you detail-oriented and looking to start a career in a dynamic environment with great opportunities to develop your professional skills? Then you might be the Digital Campaign Specialist we're looking for in our Bangkok office!.
• What will your day look like?.
• Implementing cross-channel marketing campaigns using leading CRM platforms.
• Creating workflows and target group criteria.
• Performing technical troubleshooting.
• Dispatching email, push and SMS communications.
• Who are you going to work with?.
• We work very closely with our colleagues in Copenhagen, Lisbon, San Jose (Costa Rica), and Toronto, where 300+ employees in Marketing Operations are currently located. We are proud of our multicultural environment and easy-going, yet dynamic atmosphere, where we not only work together - we are great at having fun as well.
• Opportunity to kickstart your career in digital marketing.
• Experience working with global teams and well-known brands.
• Chance to get certified in world-leading marketing tools.
• Opportunity to work with experts in the business and a diverse group of talented individuals.
• Team events.
• What do you bring to the table?.
• You are proactive and pay great attention to detail. With your logic and structured mindset, you find it easy to learn new programs and work well in a team.
• Strong communication skills in English.
• Interest in gaining technical understanding and the ability to learn fast.
• Ability to work with both routine and complex tasks.
• Detail oriented.
• Team oriented.
• A bachelor's degree.
• A leader in personalized customer experiences.
• VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper-personalization at scale, marketing automation and CRM.
• With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
• A global network.
• We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.
• WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
• When you click "Apply now" below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our.
• Privacy policy. California residents should read our.
• California Recruitment Privacy Notice.

ทักษะ:

Full Stack

ประเภทงาน:

งานประจำ

• 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.
• Join a team of talented engineers who are passionate about front-end development. Our team is dedicated to building cutting-edge web applications using Typescript, React, and Redux.
• As a Front-End Engineering Manager at Agoda, you will lead a team of talented engineers building scalable, high-performance web applications that power user experiences at global scale. You will work closely with product managers, designers, data scientists, and cross-functional engineering teams to develop user-facing applications and platforms that integrate AI capabilities into Agoda's products at global scale.
• Lead a team of engineers building scalable, reliable, and user-friendly web applications and product experiences.
• Drive the development of front-end and full-stack solutions across core product areas, including selected AI-enabled features and workflows.
• Collaborate with product, design, data, and engineering teams to deliver intuitive and impactful customer or internal user experiences.
• Shape architecture across areas such as state management, SSR, micro-frontends, and API integration.
• Ensure new features, including AI-assisted capabilities where relevant, are performant, maintainable, observable, and production-ready.
• Guide the team in designing interfaces and workflows that surface recommendations, automation, or intelligent product enhancements in a usable and reliable way.
• Improve application quality through engineering best practices including code reviews, testing, experimentation, and continuous delivery.
• Support integration with backend services through REST, GraphQL, WebSockets, and other service interfaces.
• Drive technical decisions around performance, reliability, monitoring, and maintainability in production.
• Mentor engineers and grow team capability in both modern web engineering and evolving product development practices.
• Bring strong experience leading teams building large-scale web applications with React, Angular, or Vue.
• Demonstrate solid hands-on expertise in JavaScript / TypeScript and front-end development.
• Apply strong knowledge of web performance optimization, scalability, and frontend best practices.
• Show experience integrating frontend applications with backend services through REST, GraphQL, or WebSockets.
• Drive strong technical and people leadership, with proven mentoring and coaching ability.
• Collaborate effectively with product, design, and engineering stakeholders.
• Contribute to architectural decisions across SSR, micro-frontends, and state management.
• Operate with a strong understanding of CI/CD, automated testing, and deployment for web applications.
• Communicate clearly and thrive in a fast-paced, collaborative environment.
• Bring exposure to full-stack development and backend technologies such as C#, Kotlin, or Scala.
• Demonstrate familiarity with Agile development methodologies.
• Show experience with mobile web, cross-platform frameworks, or cloud platforms.
• Apply experience with analytics, A/B testing, and SEO for large-scale web products.
• Demonstrate experience building customer-facing products in high-traffic or global-scale environments.
• bangkok.
• LI-Hybrid.
• 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.

ทักษะ:

Project Management, Risk Management, Procurement, Accounting, Purchasing

ประเภทงาน:

งานประจำ

You may know McCormick as a leader in herbs, spices, seasonings, and condiments - and we're only getting started. At McCormick, we're always looking for new people to bring their unique flavor to our team. McCormick employees - all 14,000 of us across the world - are what makes this company a great place to work. We are looking to hire a Senior Procurement Manager at our Chon Buri plant. What We Bring To The Table: The best people deserve the best rewards. In addition to the benefits you'd expect from a global leader (401k, health insurance, paid time off, etc.) we also offer: - Co ...