เงื่อนไขการค้นหา

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.

ทักษะ:

Power BI, Tableau, Python, SQL

ประเภทงาน:

งานประจำ

Requirements:- 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:

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:

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:

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.

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.

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.

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:

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:

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:

3 ปีขึ้นไป

ทักษะ:

Architecture, Automation, Big Data, Power BI, Python, Oracle, Hadoop, Apache, SQL, ETL

ประเภทงาน:

งานประจำ

• Design, develop, and maintain robust data pipelines using Apache Airflow, SSIS, PySpark, and Talend to ingest, transform, and load large-scale datasets (300M+ rows) from multiple sources.
• Manage and optimize relational databases including Oracle and SQL Server, ensuring high performance and scalability for analytical workloads.
• Design, build, and maintain cloud data platforms and warehousing solutions using AWS services such as Redshift and S3, alongside ClickHouse for high-performance analyti ...
• Develop and maintain OLAP solutions using SSAS for advanced reporting and analytics, including cube design, partitioning, and aggregation strategies.
• Implement ETL processes for structured and semi-structured data using tools such as Talend and PySpark, ensuring data quality, consistency, and compliance with industry standards.
• Collaborate with BI team, Actuarial Team and business stakeholders to understand requirements and deliver efficient data models and solutions.
• Monitor and improve data pipeline performance, troubleshoot bottlenecks, and implement best practices for parallel processing and resource optimization.
• Ensure data security and compliance with insurance industry regulations and company policies.
• Leverage big data technologies such as Apache Spark for distributed processing and advanced data transformations.
• Automate workflows and scheduling using Airflow DAGs, ensuring reliability and scalability of data operations.
• Document data architecture, processes, and standards, and provide technical guidance to team members.
• Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field.
• 3+ years of experience building and maintaining data pipelines.
• Proficiency in SQL and experience with relational databases (Oracle, SQL Server) including performance tuning and query optimization.
• Hands-on experience with ETL tools such as SSIS, Talend, and PySpark, and data modeling for OLAP solutions using SSAS.
• Knowledge of data pipeline orchestration using Apache Airflow.
• Experience with big data processing frameworks such as Apache Spark for distributed data transformations.
• Hands-on experience with cloud database/data platform services such as AWS Redshift, S3, and ClickHouse.
• Solid understanding of data warehousing concepts, star/snowflake schema, and partitioning strategies for large datasets (300M+ rows).
• Familiarity with insurance industry data or other regulated environments (preferred).
• Proficiency in Python or another scripting language for automation and data manipulation.
• Knowledge of data quality, governance, and security best practices.
• Ability to work with large-scale data and optimize workflows for performance and scalability.
• Preferred Qualifications.
• Experience with Power BI and building efficient data marts.
• Experience with data privacy, governance, and secure data access practices.
• Hands-on with cloud platforms or tools such as AWS (Redshift, S3), ClickHouse, Azure, Databricks, Delta Lake, Snowflake, or Hadoop ecosystem.
• Able to troubleshoot performance issues in both backend pipelines and frontend analytics tools.
• Comfortable working in a fast-paced, high-ownership environment with cross-functional teams.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Architecture, AutoCAD, Revit, BIM

ประเภทงาน:

งานประจำ

• Serve as the on-site representative of the architectural design team during construction.
• Review and interpret architectural drawings, specifications, and submittals to ensure accurate implementation.
• Conduct regular site inspections to verify quality of architectural finishes (e.g., walls, ceilings, partitions, facades).
• Approve material samples and mock-ups submitted by contractors.
• Identify and document non-conformances, and ensure timely resolution.
• Coordinate with structural, MEP, and civil teams to resolve design conflicts.Ensure compliance with local building codes, accessibility standards, and fire/life safety regulations.
• Participate in design change reviews, RFIs, and submittal processes.
• Maintain detailed field reports, punch lists, and progress documentation.
• Bachelor's or Master's degree in Architecture from an accredited institution.
• Licensed/Registered Architect (RA) preferred.
• Minimum 5-7 years of experience in architectural oversight of large-scale construction projects, ideally data centers or critical facilities.
• Strong knowledge of building codes, ADA compliance, and architectural detailing.
• Proficient in AutoCAD, Revit, and BIM tools.
• Familiarity with Tier III/IV data center design standards is a plus.
• Excellent communication and coordination skills.
• Why join Cushman & Wakefield?.
• As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;.
• Being part of a growing global company;.
• Career development and a promote from within culture;.
• An organisation committed to Diversity and Inclusion.
• We're committed to providing work-life balance for our people in an inclusive, rewarding environment.
• We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.
• We have a vision of the future, where people simply belong.
• _That 's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status._.
• _We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us._.
• INCO: "Cushman & Wakefield".

ทักษะ:

Business Development, Data Analysis

ประเภทงาน:

งานประจำ

• Analyze and deliver accurate, relevant, timely, and actionable insights to management and/or relevant stakeholders to identify approaches, trends, patterns, and opportunities that support and drive the organization's business growth effectively.
• Prepare reports and recommendations based on data analysis results.
• Ensure that data used for reporting and analysis is accurate, consistent, and reliable, and implement appropriate data quality control measures.
• Identify opportunities to automate reporting processes, improve data collection, and develop analytical tools to enhance efficiency and effectiveness.
• Execute project plans and timelines carefully and clearly to ensure the timely delivery of high-quality data solutions that align with organizational objectives.
• Work closely with departmental members within and across-departments to effectively deliver data solutions and help drive the achievement of both departmental and cross-departmental goals.
• Act as a Data Analytics and Research consultant to internal departments within the organization.
• Able to apply AI knowledge and skills to assist in data analysis.
• Perform other tasks as assigned by the leader.

ทักษะ:

Project Management, Architecture, Power BI, Cloud Computing, English

ประเภทงาน:

งานประจำ

• Consolidate requirements from various business functions and create common business data models within data warehouse for each business function to serve business needs.
• Working with Data Governance, Data Management, and Data Engineering team to setup data warehouse model and working with business users to develop data marts.
• Assessing the effectiveness and accuracy of data sources and data gathering techniques.
• Applying strong expertise in business intelligence skills set to develop customized and innovative solutions.
• Developing best practice for analytic and business intelligence solutions.
• Working with the IT function and project leaders in providing technical guidance regarding data architecture, data models and data management and translate business needs into requirements for analytics and business intelligence solutions.
• Always stay on latest data and BI technologies.
• Designs and develops BI relevant solutions, data model, data mart, data warehouse, report, and dashboard.
• Professional Knowledge & Experiences.
• A bachelor's degree in computer science, engineering or IT related field.
• Proficient knowledge of SQL and Relational Database, knowledge on google cloud is a plus.
• Experience in any ETL, data mart, data warehouse, data modeling design.
• Experience in any BI visualize tools, PowerBI or TIBCO Spotfire is a plus.
• Experience working with Product Owners or Business users to understand business needs, define scope and translating requirements into technical specifications.
• Strong problem-solving skills.
• A drive to learn.
• A good command of the English language.
• Preferably experience and skills in project management.
• Preferably a knowledge of or a background in the oil & gas industry.

ประเภทงาน:

งานประจำ

คุณกำลังมองหาโอกาสที่จะเติบโตและก้าวหน้าในอาชีพการงานอยู่ใช่ไหม ไม่ต้องมองหาที่ไหนไกลไปกว่า Rabbit Holdings! เราเชื่อในวัฒนธรรมแห่งการเติบโตและการพัฒนาอย่างไม่สิ้นสุด เราลงทุนในการเติบโตทางวิชาชีพของทีมงานผ่านกระบวนการสรรหาที่โปร่งใสและยุติธรรม เพื่อให้แน่ใจว่าเราจะคัดเลือกเฉพาะผู้สมัครที่มีคุณสมบัติเหมาะสมที่สุดสำหรับแต่ละบทบาทเท่านั้น เรามุ่งเน้นการพัฒนาพนักงานของเราไม่ได้หยุดลงเมื่อได้ร่วมงานกัน เราให้ความสำคัญกับโอกาสการฝึกอบรมเพื่อช่วยให้ทีมงานพัฒนาทักษะอย่างต่อเนื่องและก้าวหน้าในอาชีพการงาน ที่ Rabbit Holdings ค่าตอบแทนที่เป็นธรรมคือเป็นปัจจัยสำคัญในการรักษาพนักงานและสร้างควา ...

ทักษะ:

Data Entry, Payroll

ประเภทงาน:

งานประจำ

• คีย์และบันทึกข้อมูลพนักงานจากเอกสารที่ลูกค้าจัดส่ง เช่น PDF, แบบฟอร์ม หรือเอกสารประกอบต่าง ๆ เข้าสู่ระบบ Payroll / HR System.
• ตรวจสอบความถูกต้องและความครบถ้วนของข้อมูลก่อนบันทึกเข้าระบบ.
• ดำเนินการบันทึกข้อมูลพนักงานเข้า-ออก และข้อมูลพนักงานที่มีการเปลี่ยนแปลง เช่น ข้อมูลส่วนบุคคล ตำแหน่ง แผนก เงินเดือน และข้อมูลที่เกี่ยวข้อง.
• ตรวจสอบความถูกต้องของข้อมูลที่บันทึกกับเอกสารต้นฉบับ และแก้ไขข้อมูลเมื่อพบข้อผิดพลาด.
• จัดการงานคีย์ข้อมูลตามปริมาณงานและกำหนดเวลาที่ได้รับมอบหมาย โดยสามารถรองรับงานที่มีปริมาณมากและมี Deadline.
• ประสานงานกับทีมที่เกี่ยวข้อง กรณีพบข้อมูลไม่ครบถ้วน ข้อมูลไม่ชัดเจน หรือข้อมูลในเอกสารไม่ตรงกัน.
• จัดเก็บและจัดการเอกสารที่ใช้ในการคีย์ข้อมูลอย่างเป็นระบบ.
• ปฏิบัติงานอื่น ๆ ที่เกี่ยวข้องกับการจัดเตรียมและตรวจสอบข้อมูล Payroll / HR ตามที่ได้รับมอบหมาย.
• วุฒิการศึกษา ปวช. / ปวส. / ปริญญาตรี หรือสาขาที่เกี่ยวข้อง.
• สามารถพิมพ์สัมผัสภาษาไทยและภาษาอังกฤษได้ดี.
• สามารถใช้คอมพิวเตอร์และโปรแกรม Microsoft Office โดยเฉพาะ Excel ได้ดี.
• สามารถคีย์ข้อมูลจำนวนมากได้รวดเร็วและแม่นยำ.
• มีความละเอียดรอบคอบ และสามารถตรวจสอบข้อมูลจำนวนมากได้อย่างแม่นยำ.
• สามารถทำงานที่มีลักษณะเป็นงานซ้ำ ๆ และมีปริมาณข้อมูลจำนวนมากได้.
• สามารถทำงานภายใต้กำหนดเวลา (Deadline) และบริหารจัดการงานตามลำดับความสำคัญได้.
• มีความรับผิดชอบและสามารถทำงานตามขั้นตอนที่กำหนดได้อย่างเคร่งครัด.
• หากมีประสบการณ์ด้าน Payroll, HR, Data Entry หรือการคีย์ข้อมูลจำนวนมาก จะได้รับการพิจารณาเป็นพิเศษ.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Compliance

ประเภทงาน:

งานประจำ

• HSE Program Development: Develop, implement, and maintain comprehensive HSE programs and policies tailored to data center construction activities.
• Compliance: Ensure compliance with all local, state, and federal health, safety, and environmental regulations, as well as company standards and policies.
• Risk Assessment: Conduct regular risk assessments and job hazard analyses to identify potential hazards and implement appropriate control measures.
• Training: Develop and deliver HSE training programs for employees, contractors, and subcontractors. Ensure all personnel are knowledgeable about safety protocols and procedures.
• Inspections and Audits: Conduct regular site inspections and audits to monitor compliance with HSE standards. Identify areas for improvement and implement corrective actions.
• Minimum 5-7 years of HSE experience, with at least 3-5 years in large-scale construction or data centre projects.
• Proven experience managing safety in complex, fast-paced environments with multiple contractors.
• Strong understanding of MEP, electrical systems, and critical infrastructure safety requirements.
• Why join Cushman & Wakefield?.
• Being part of a growing global company.
• Career development and a promote from within culture.
• An organization committed to Diversity and Inclusion.
• We're committed to providing work-life balance for our people in an inclusive, rewarding environment. We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.
• We have a vision of the future, where people simply belong.
• _That 's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status. We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us._.
• INCO: "Cushman & Wakefield".

ทักษะ:

Power BI, Tableau, Python

ประเภทงาน:

งานประจำ

• Developed and validated end to end quality anomaly detection methods using statistical, clustering, ML based, and time series techniques (z score, IQR, outlier detection).
• Enable automated, consistent, and scalable visual inspection using AI to detect defects, anomalies, or patterns that humans miss or cannot do fast enough.
• Assist in benchmarking anomaly detection approaches against current engineering rules (e.g., red/yellow dot sweeps, column swipes).
• Partner with quality engineers to drive process efficiency improvements.
• Driving AI adoption to automate routine tasks and improve operational efficiency.
• You are a self-motivated and independent learner with a strong communication and UX storytelling mindset. You enjoy working in teams and translating complex data into actionable insights.
• Strong background in statistics and machine learning (regression, clustering, classification, anomaly/outlier detection).
• Experience integrating OpenAI APIs (text and vision models) into internal tools, analytics pipelines, or inspection workflows.
• Proficiency in Python (pandas, scikit-learn, PyOD, stats models) or KNIME workflows.
• Experience designing and developing interactive dashboards using Power BI and Tableau.
• Good problem-solving and analytical mindset; ability to handle large datasets efficiently.
• Currently pursuing a Bachelor's or master's degree in IT, Computer Science, or other Engineering majors.
• Teparuk, Thailand.
• Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads a crucial.
• component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and.
• enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen.
• Seagate Internal and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball,.
• basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety.
• of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider.
• joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN),.
• Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational.
• and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local.
• community.
• Teparuk Thailand.
• Travel.
• None.