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Skills:

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

Job type:

Full-time

• 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.

Job type:

Full-time

• Terms of employment / engagement shall be subject to contract and local applicable laws.
• About Binance Accelerator Program.
• Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds' leading blockchain ecosystem. Alongside your job, ...
• Who may apply.
• Current university students and recent graduates.

Experience:

2 years required

Skills:

English, Thai

Job type:

Full-time

• Collaborate closely with engineering teams to design and deploy end-to-end LLM applications that drive measurable business impact.
• Implement scalable LLMOps workflows to streamline model training, deployment, monitoring, and ongoing optimization in production.
• Evaluate, test, and benchmark frontier and open-source LLMs to identify high-value applications across our product ecosystem.
• Adapt and fine-tune pre-trained models using domain-specific datasets and modern optimization techniques.
• Establish robust evaluation frameworks, testing harnesses, and monitoring infrastructure to ensure AI models optimize for accuracy, latency, safety, and cost efficiency.
• Stay at the forefront of AI research, continuously evaluating emerging tools, architectures, and methodologies to enhance engineering practices.
• Bachelor's, Master's, or Ph.D. in Computer Science, Data Analytics, Statistics, or a related quantitative field.
• 2-5 years of experience in data science, machine learning, or applied research.
• Solid foundation in statistics, probability, machine learning algorithms, and large language models (LLMs).
• Hands-on experience with some modern AI tooling and frameworks (e.g., vLLM, LangChain, or similar execution engines).
• Strong problem-solving skills, strong sense of ownership, and a passion for translating experimental research into production-grade systems.
• Excellent communication skills with both technical and non-technical stakeholders, with a proven ability to build and foster collaborative relationships.
• Ability to thrive in a dynamic, fast-paced environment and apply disciplined risk control to deliver high standards under constraints.
• Fluency in both English and Thai.
• It'd be Great if you have: (if any).
• Demonstrated experience deploying and optimizing LLM serving architectures for high-concurrency, low-latency production applications.
• Extensive hands-on experience training, post-training, fine-tuning (e.g., LoRA, QLoRA), and aligning (e.g., RLHF, DPO) large language or multimodal models.
• Familiarity with modern Retrieval-Augmented Generation (RAG) frameworks, vector databases (e.g., Pinecone, Milvus, Qdrant), and advanced retrieval techniques.
• Experience building agentic workflows, function calling pipelines, or multi-agent orchestration systems.
• Proven track record of publishing research papers at top-tier AI/ML conferences or journals.

Skills:

Data Analysis, Architecture, Python, Cloud Computing, SQL

Job type:

Full-time

• Support workshops to understand business goals, constraints, and data landscapes; translate them into prioritized AI use cases and a phased delivery plan (PoC.
• MVP.
• Production).
• Support the design of solution architecture, effort estimation, and clearly articulate technical and business value during proposal development.
• Collaborate with cross-functional teams to understand business challenges and translate them into actionable analytical solutions.
• Implement, and deploy machine learning models across various domains, covering both Traditional and Generative AI use cases.
• Rapidly prototype and validate ML/GenAI solutions (e.g., classification, forecasting, NLP, RAG, summarization, document intelligence, agentic workflow).
• Develop robust, maintainable, and production-ready machine learning workflows, with a focus on MLOps practices.
• Bachelor's degree in STEM fields (e.g., Engineering, Computer Science, Statistics, Mathematics, Economics, or related disciplines).
• Hands-on experience delivering ML/AI solutions; consulting/client-facing experience preferred.
• Proven hands-on experience with Python and SQL for data analysis and model development; familiarity with cloud platforms for scalable analytics solutions.
• Practical experience across the AI/ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
• Ability to translate complex analytical insights into clear, actionable business recommendations for diverse stakeholders.
• Good to have certifications.
• AI / Data Science Specific e.g., Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate.
• Cloud & Data Platforms e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist Associate.

Job type:

Internship

• Terms of employment / engagement shall be subject to contract and local applicable laws.
• About the Role.

Skills:

Python, Java, C++

Job type:

Full-time

• Reasoning and planning for foundation models: Enhance reasoning and planning throughout the entire development process, including data acquisition, model evaluation, SFT, reward modeling, and reinforcement learning, to improve overall performance.
• Synthesize large-scale, high-quality data using methods such as rewriting, augmentation, and generation to improve the capabilities of foundation models in various stages (pretraining, SFT, RL).
• Solve complex tasks using system 2 thinking and leverage advanced decoding strategie ...
• Investigate and implement robust evaluation methodologies to assess model performance at various stages.
• Teach foundation models to use tools, interact with APIs, and code interpreters. Build agents and multi-agent systems to solve complex tasks.
• Proficiency in research experience with RL, LLM, and familiarity with large-scale model training is preferred.
• Proficiency in data structures and fundamental algorithm skills, and fluency in Python or C++/Java.
• Experience with influential projects or papers in RL, NLP, or Deep Learning is preferred.
• Excellent problem analysis and problem-solving skills, capable of deeply addressing challenges in large-scale model training and application.
• Good communication and collaboration skills, with the ability to explore new technologies with the team and promote technological progress.
• n.
• Why Binance.
• Shape the future with the world's leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Experience:

5 years required

Skills:

TensorFlow

Job type:

Full-time

• Design and manage search recommendation services and models to support the content team, empowering content ecosystem development.
• Utilize machine learning-based personalization methods, design patterns, and tools to enhance content matching and distribution efficiency.
• Deep understanding of recommendation systems within the content domain, leveraging business knowledge to drive AI product upgrades and improve content experience and business outcomes.
• Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
• Collaborate with content, business, and product management teams to identify needs and opportunities within content scenarios, and jointly define success metrics.
• MSc or PhD in Machine Learning, Computer Vision, Computer Science, or Applied Mathematics, with at least 5 years of relevant industry experience (experience in the content domain is preferred).
• Strong hands-on experience with popular machine learning frameworks such as PyTorch or TensorFlow.
• Experience in large-scale application development, preferably in content-related user-facing applications.
• Excellent cross-team collaboration skills with the ability to work effectively with global content teams.
• Publication record at top-tier conferences or journals is a plus.
• n.
• Working at Binance.
• Be a part of the world's leading blockchain ecosystem that continues to grow and offers excellent career development opportunities.
• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless.
• Tackle fast-paced, challenging and unique projects.
• Work in a truly global organization, with international teams and a flat organizational structure.
• Competitive salary and benefits.
• Flexible working hours, remote-first, and casual work attire.
• Learn more about how Binancians embody the organization's core values, creating a unified culture that enables collaboration, excellence, and growth.
• Apply today to be a part of the Web3 revolution!.
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
• Why Binance.
• Shape the future with the world's leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
• Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
• By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Job type:

Internship

Terms of employment / engagement shall be subject to contract and local applicable laws.

Skills:

Data Analysis, Recruitment, TensorFlow, Assurance, Python

Job type:

Internship

• Explore, clean, and analyze data to understand business problems and identify useful patterns.
• Build, train, and evaluate machine learning or deep learning models for real-world use cases.
• Experiment with approaches such as LLMs and agentic AI, time series forecasting, or computer vision, depending on the project.
• Compare model results, document your experiments, and share findings and recommendations with the team.
• Collaborate with data scientists and other team members to develop practical AI solutions.
• Currently studying a Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
• A good foundation in Python, data analysis, and machine learning concepts.
• Hands-on experience from coursework, personal projects, research, or competitions in LLMs and agentic AI, time series forecasting, computer vision, or training machine learning and deep learning models.
• Familiar with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.
• Good communication and interpersonal skills and can work effectively with team members.
• This is your chance to build your career in a growing data-driven and AI industry.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

Skills:

Recruitment, Leadership Skill, YouTube, Python, SQL

Job type:

Full-time

• Identify and solve high-leverage problems across Agoda.
• Translate ambiguous problems into measurable objectives and technical solutions.
• Lead the design and deployment of ML, AI, and analytical solutions.
• Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
• Partner with cross-functional leaders to shape strategy and roadmaps.
• Provide technical leadership and mentorship across the data-science community.
• What You'll Need.
• Extensive hands-on experience in data science, machine learning, and statistics.
• Experience delivering production models with measurable customer or business impact.
• Strong Python and SQL skills; experience with large-scale data and ML platforms.
• Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
• Nice to Have.
• Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
• Experience with production LLM or generative-AI systems.
• Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.
• 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:

1 year required

Skills:

Statistical Analysis, Project Management, Product Design, Enthusiastic, Recruitment

Job type:

Full-time

• Experience with any purchase /receipt capture methodologies and experience FMCG market will be a fantastic addition.
• Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you.
• Within the PDE group, the profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills.
• Education & Experience.
• University degree in Statistics, Mathematics, Socio-economics, or a related field.
• Minimum of 1-2 years of experience in FMCG, Retail, Consumer Research, or a related industry.
• Familiarity with the APAC market, ideally located near our Bangkok office.
• Skills & Knowledge.
• Master's degree Graduated.
• Strong understanding of consumer behavior, and interest in any purchase/receipt collection methodologies.
• Candidates with Panel consumer experience are welcome.
• Proficiency in statistical analysis and handling large data sets.
• Working knowledge of Python (required) and R (optional).
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Experience with SQL and large-scale databases.
• Proficient English skills for cross-country collaboration and stakeholder engagement.
• Effective project management and time management skills.
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Comfortable working in agile environments and using agile tools.
• Skilled at navigating complex challenges and maintaining collaborative, solution-driven communication.
• Your Personal Qualities.
• Reliable and results-driven with a strong "Say-Do" ratio.
• Open communicator with a collaborative and positive approach.
• Adaptable, proactive, and enthusiastic about working in a global, dynamic team.
• If you're passionate about data, consumer insight, and continuous product improvement - and enjoy collaborating across cultures and disciplines - we'd love to hear from you.
• We are a global, diverse team that is passionate about bringing world-class solutions alive and engaging with different end2end business branches to bring the complete consumer journey to our clients. Client satisfaction and highest quality standards in the markets across the world are our core drivers and main focus areas.
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/.
• About NIQ.
• NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

Skills:

GMP

Job type:

Full-time

• ทวนสอบขั้นตอนวิกฤติในกระบวนการผลิต เช่น จุดควบคุมสำคัญ ลำดับการเติมวัตถุดิบ เวลา อุณหภูมิ ความเร็ว หรือเงื่อนไขอื่นตามที่กำหนด พร้อมติดตามให้พนักงานปฏิบัติตามขั้นตอนอย่างถูกต้อง.
• ประสานงานระหว่างหัวหน้างานและพนักงานฝ่ายผลิต เพื่อสื่อสารแผนงาน ข้อกำหนด ขั้นตอนการทำงาน ปัญหาหน้างาน และการแก้ไขปัญหาให้เกิดความเข้าใจตรงกันและดำเนินงานได้อย่างต่อเนื่อง.
• สอนงานและแนะนำพนักงานฝ่ายผลิตที่เข้ามาใหม่เกี่ยวกับขั้นตอนการผลิต การใช้งานเอกสาร กา ...
• ทบทวนบันทึกขั้นตอนการผลิตให้ครบถ้วน ถูกต้อง อ่านได้ชัดเจน และสอดคล้องกับการปฏิบัติงานจริง รวมถึงตรวจสอบการลงชื่อ วันที่ เวลา และข้อมูลที่จำเป็นตามข้อกำหนดของเอกสาร.
• ทบทวนบันทึกผลการผลิตและข้อมูลที่เกี่ยวข้อง เพื่อยืนยันว่าผลการดำเนินงานเป็นไปตามเกณฑ์ที่กำหนด รวมถึงตรวจสอบความสอดคล้องของข้อมูลระหว่างเอกสารและกระบวนการผลิต.
• ตรวจติดตามความพร้อมของพื้นที่ เครื่องมือ อุปกรณ์ และเอกสารที่จำเป็นก่อนเริ่มกระบวนการผลิต พร้อมแจ้งหัวหน้างานเมื่อพบความผิดปกติหรือสิ่งที่อาจส่งผลกระทบต่อคุณภาพและความปลอดภัย.
• สำเร็จการศึกษาระดับปริญญาตรีขึ้นไปในสาขาวิทยาศาสตร์ หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ปฏิบัติงานในไลน์ผลิต ไม่น้อยกว่า 2 ปี.
• สามารถอ่าน ทำความเข้าใจ และปฏิบัติตามเอกสารวิธีปฏิบัติงานมาตรฐาน ใบสั่งผลิต และเอกสารควบคุมที่เกี่ยวข้องได้.
• มีความละเอียดรอบคอบ มีความรับผิดชอบ และมีจิตสำนึกด้านคุณภาพ เนื่องจากตำแหน่งนี้ต้องตรวจสอบข้อมูลและขั้นตอนที่มีผลต่อกระบวนการผลิตโดยตรง.
• มีทักษะการประสานงาน การสื่อสาร และการถ่ายทอดความรู้ให้แก่พนักงานในไลน์ผลิต.
• สามารถทำงานเป็นกะหรือทำงานล่วงเวลาได้ตามความจำเป็นของแผนการผลิต.
• หากมีประสบการณ์ด้านระบบคุณภาพ การตรวจสอบเอกสาร การสอบสวนความเบี่ยงเบน หรือการฝึกอบรมพนักงาน จะได้รับการพิจารณาเป็นพิเศษ.
• บริษัทเราอยู่ระหว่างก่อสร้างโรงงานยาแผนปัจจุปันเพื่อผลิตยากลุ่ม Hormone และต้องการเภสัชยุคบุกเบิกที่จะ "ล่มหัวจมท้าย" ไปกับบริษัทในลักษณะลูกหม้อ เพื่อร่วมกันสร้างโรงงานที่มีจุดเด่นทางธุรกิจ เป็นหน้าเป็นตาทางมาตรฐาน แต่ยังคงอยู่กับความเป็นจริงว่า "นกน้อยทำรังแต่พอตัว" เพราะเป็นโรงงานแรก แผนที่วางไว้มีความแน่นอนว่ามันจะไม่เป็นไปตามนั้นทุกอย่าง เมื่อมีเป้าหมายเป็นธรรมดาย่อมมีปัญหา และเราต้องการคนที่พร้อมที่จะทุ่มเทในการแก้ปัญหา "เพื่อ" ให้ไปถึงเป้าหมาย.
• เป็นคนมีความจริงใจ จริงจังกับการทำงาน ไม่เห็นแก่ตัว และไม่ใช่คนที่มี mindset การทำงานเป็นแบบ Officer แต่เป็นคนที่มี Entrepreneur mindset เข้าใจข้อจำกัดทางธุรกิจ ข้อจำกัดทางด้านเภสัชวิทยา ข้อจำกัดทางด้านกฏหมาย และ หาเส้นทางที่ไปถึงเป้าหมายได้ (ไม่ใช่ถูกที่สุด ไม่ใช่เป๊ะที่สุด).
• ผม (เจ้าของ) เชื่อว่าทุกคนมีฝันว่าวันนึงอยากจะทำธุรกิจเป็นของตัวเอง แต่ก็กลัวความเสี่ยง แต่ทำงานประจำไปตลอดก็ไม่สามารถเป็นอิสระทางการเงินได้ ถ้าคุณคือคนที่มีความทุ่มเทให้กับโรงงานนี้ มีความจริงใจ เป็นคนแกร่งที่ทานทนต่ออุปสรรค แรงกดดัน และความไม่สมหวังได้ เมื่อโครงการสำเร็จนอกจากเงินเดือนและ Bonus ทางบริษัทจะแบ่งหุ้นในโรงงานให้และท่านจะสามารถได้รับปันผลเติบโตไปพร้อมกับบริษัท.
• บุคลิกของคนที่ต้องการ.
• เป็นคนหนักแน่น ไม่โลเล เมื่อตัดสินใจมาทำงานที่นี่แล้วก็ลบ Resume ตัวเองจากสารบบ พร้อมทุ่มให้กับงานอย่างเต็มที่.
• เป็นคนฉลาด ที่อารมณ์ดี.
• เป็นคนที่สื่อสารทันที เมื่อสงสัยหรือมีคำถาม.
• มองภาพว่าตัวเองจะอยู่ที่นี่อย่างน้อย 5ปี.
• Culture การทำงานในบริษัท.
• ใจๆแมนๆ ไม่fake.
• กล้าตัดใจเมื่อต้องประหาร ใบเตือนต้องใช้เมื่อจำเป็น จอมยุทธ์ยามจำเป็นต้องกล้าชักกระบี่ (ออกใบเตือนลูกน้อง ดีกว่ายิ้มต่อหน้า พูดว่าไม่เป็นไร แต่ไปนินทาลูกน้องลับหลัง อันนั้นคือหัวหน้าที่ชี้ขลาด).
• ไม่ยกตนข่มท่าน เจอคนอ่อนโยน เรายิ่งต้องอ่อนกว่า แต่กับคนไม่ดี ยอมหักไม่ยอมงอ.
• คุยกันด้วยเหตุผลและตัวเลข แต่ห้ามมองคนเป็นตัวเลข คนมีหัวใจ ความรู้สึก ความผูกพัน ที่ทุกวันนี้ยังไม่มีใครคำนวณได้.
• ยอมลาออกไปตายดาบหน้า ดีกว่าอยู่ในองค์กรที่มีพลังงานเฉื่อย (เช่น นั่งนับวันลาป่วยว่า ปีนี้ป่วยครบสิทธิ์หรือยัง). ปีนึงกฏหมายให้ป่วย 30วัน เจอคนเฉื่อย ปีนึงทำงาน 250วัน พี่แก ซัดไป 30/250 (12%. โอ้แม่เจ้า โคตร Toxic).
• เบิกได้มีเกณฑ์คำนวณเป็นระยะทางแต่ Cover แน่นอน.
• สถานที่ทำงานหลัก โรงงานที่บางพลี สมุทรปราการ.
• ประกันสุขภาพ OPD 3,000บาท - ทำไมต้องสวัสดิการนี้: ไม่มีแยกประกันระหว่างตำแหน่งเงินเดือนสูงหรือต่ำ เพราะคนเงินเดือนสูงมีเงินหาหมออยู่แล้ว เรื่องสุขภาพควรจะเท่ากัน.
• ประกันสุขภาพ IPD เยอะอยู่ครับ แต่จำไม่ได้ว่าเท่าไหร่.
• ทำไมต้องสวัสดิการนี้: Concept เป็นแนวประมาณว่ากลัวพนักงานตัวเล็กๆจะเป็นหนี้ถ้าประสบอุบัติเหตุหนักขึ้นมาเลยทำ IPD ให้ Cover ไว้ เช่นคนเงินเดือน 15,000 เหลือเก็บ 2,000 ล้มมอเตอร์ไซด์แขนหักมาถ้าต้องจ่าย 50,000 ชีวิตเขาก็พังแล้ว.
• Bonus 1-3เดือน.
• ปรับเงินเดือนปีละหนึ่งครั้ง(1%-5%).
• ต้องไม่ได้รับใบเตือน และผลการทำงานต้องเป็นที่พอใจของผู้บังคับบัญชาก็จะเข้าเกณฑ์การันตี Bonus 1เดือน, ส่วนน้องๆที่จบใหม่ ไฟแรงแม้นไม่มีประสบการณ์ แต่ทำงานเก่งเพื่อให้เห็นว่าบริษัทชอบคนสู้งาน คนไฟแรง เรายินดีมอบ Bonus สูงสุด 3เดือนให้สำหรับผู้เป็น Star และหากมีอายุงานเกิน 5ปี ก็อาจได้รับ Bonus สูงสุดถึง6เดือน และ Incentive อื่นๆอีกมากมาย แต่หากเป็นพนักงานเช้าชามเย็นชามเราก็คงต้องแยกจากกันไม่ช้าก็เร็ว.
• ตู้ Vending จำหน่ายน้ำขนม ลด50% จากราคา 7-11 - ทำไมต้องสวัสดิการนี้: ถ้าน้องพนักงานตัวเล็กๆ เงินเดือนไม่มาก ปรกติซื้อขนมกินวันละ 50บาท ประหยัดไ้ด้ 25บาท เดือนนึงทำงาน 25วันก็ 625บาท ปรกติเก็บได้ 2,000ต่อเดือน 625 บาทก็เป็นเกิน 30% ของเงินเก็บแล้ว.
• อาหารเสริมส่วนกลางของ Fitwhey (ถ้าคนกินเวย์ประหยัดเดือนละเป็นพันแน่นอน) - ทำไมต้องสวัสดิการนี้: Whey Protein ไม่ใช่โปรตีนเร่งกล้ามแต่เป้น Super Food ที่มี Health benefit มากมาย.
• Codeส่วนลดสวัสดิการอาหารเสริม - ทำไมต้องสวัสดิการนี้: เหมือนข้อ4.
• ออกกำลังกายอย่างน้อยอาทิตย์ละ 2 วัน โดยมี Trainer / ครูYoga มาสอนให้ฟรี - ทำไมต้องออกกำลังกาย: Fitwhey เป็น Sport Nutrition อันดับหนึ่งของเมืองไทย เราขายอาหารเสริมให้นักกีฬาให้คนทั่วประเทศ และเน้นย้ำว่าเป็นเวย์โปรตีนที่ต้องใช้ควบคู่กับการออกกำลังกาย ดังนั้นพนักงานของเราก็ควรมีร่างกายที่ฟิต (Walking the talk) คุณไม่ต้องฟิตระดับโลก แต่ในวันที่คุณก้าวขาเข้ามาทำงานที่ฟิตเวย์ คุณจะต้องฟิตกว่าตอนที่ทำงานอยู่ที่อื่น คุณจะต้องเป็น TheBestVersion ของตัวเองที่ฟิตเวย์ เพราะเพื่อนๆพี่ๆน้องๆที่ฟิตเวย์จะชวนกันฟิตไปด้วยกัน.
• วันหยุดประจำปี วันลากิจ ลาป่วย (วันหยุดประจำปีมากกว่ากฏหมายกำหนด แต่ถ้าเป็นคนทำงานจริงๆ everyday is working day and must work from anywhere ครับ) วันหยุดประจำปีพวกนี้มีไว้ให้น้อง Operation ได้กลับบ้านและพักผ่อน แต่ถ้าหัวหน้าให้มองว่ามันคือวันนั่ง Clear งาน.
• ประกันสังคม.
• VeryVeryFastPace เน้นคนคิดเร็ว ทำเร็ว.
• หางานเพื่อทำงาน ไม่ใช่ ทำงานเพื่อหาเงิน.
• WorkLife.
• ทำงานแบบไม่ PlaySafe.
• หนักด้วยกัน เหนื่อยด้วยกัน ไม่ทิ้งกัน, ธาตุแท้คน เห็นกันตอนลำบาก.
• มี Org chart แต่พนักงานคุยกันได้ทุก Layer ไม่เจ้ายศ เจ้าอย่าง, อำนาจมีไว้เพื่อสั่ง ตัดสินใจ และรับผิดรับชอบ ไม่ได้มีไว้เล่นการเมือง.
• คนฉลาดวิชาการ แต่พอถึงบทบู๊ก็ใจถึง.
• ไม่ยอมแพ้อะไรง่ายๆ อะไรที่คนพูดว่าไม่ได้ ยิ่งต้องทำมันให้ได้.
• EQ ดี.
• Fuck วุฒิการศึกษา การศึกษาแท้จริงอยู่ที่ปลายนิ้ว วันนี้อยากเรียน Calculus ก็เรียนได้ พรุ่งนี้จะเปลี่ยนเป็น Digital marketing ก็ทำได้.
• กล้าคิด กล้าทำ ทำงานแบบไม่กลัวโดนนายด่า.
• มีความเข้าใจคณิตพื้นฐานเช่น พีชคณิต, ความน่าจะเป็น, สถิติ, Log/เลขยกกำลัง, Calculus ในระดับเบื้องต้น.
• สามารถเขียนโปรแกรมในภาษาใดก็ได้หรือเป็นผู้ใช้ Google Sheet (Excel) ระดับสูง.
• มีพลังงานบวก ไม่คิดลบ ความเป็นลูกผู้ชาย เกิน 100%.

Skills:

Project Management, Data Analysis, Power BI, Python, English

Job type:

Full-time

• Create project implementation plans and follow up with related departments.
• Perform data analysis using statistical tools, scientific methods, and machine learning.
• Develop data applications and ensure validation, testing, monitoring, and documentation.
• Coordinate with internal and external stakeholders to support digital transformation projects.
• Degree in Computer Science, Data Science, or related fields.
• Knowledge of Manufacturing processes is preferred.
• Experience in Data Science or data analytics.
• Skills in Python, SQL, Git, advanced statistics, data transformation, and Power BI.
• Good English communication skills.
• Required Skills.
• Python.
• SQL.
• Git.
• Advanced statistics.
• Data access and data transformation.
• Power BI.
• Machine learning and data analytics knowledge.
• Competencies.
• Strong result orientation and future-oriented mindset.
• Good cooperation and communication skills.
• Ability to coordinate with cross-functional teams and external partners.
• Strong depth of technical and methodological knowledge.
• Interest in digital transformation and i4.0 initiatives.

Skills:

Statistical Analysis

Job type:

Full-time

• 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.

Skills:

Power BI, Tableau, Python, SQL

Job type:

Full-time

• 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).

Experience:

2 years required

Skills:

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

Job type:

Full-time

• 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.

Experience:

5 years required

Skills:

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

Job type:

Full-time

• 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.

Experience:

3 years required

Skills:

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

Job type:

Full-time

• 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.

Experience:

5 years required

Skills:

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

Job type:

Full-time

• 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.

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.