เงื่อนไขการค้นหา

ทักษะ:

Microsoft Office

ประเภทงาน:

งานประจำ

• Reviewing insurance applications, health declarations, and medical reports (พิจารณาใบคําขอเอาประกัน/ใบแถลงสุขภาพ/รายงานการตรวจสุขภาพ).
• Evaluating insurance applications and health documents.
• Computing and verifying insurance premiums for new cases, renewals, and health-related surcharges within authority limits.
• Presenting underwriting decisions for supervisor approval when cases exceed authorization boundaries.
• Coordinating with hospitals to gather underwriting information.
• Preparing documentation for reinsurance company review.
• Participating in new product discussions and conducting user acceptance testing.
• Generating risk-related reports.
• Bachelor's degree or higher in nursing, medical technology, or related healthcare field.
• Minimum 1-2 years (อย่างน้อย 1-2 ปี) underwriting experience.
• Age not exceeding 32 years (open to all genders).
• Proficient Microsoft Office skills.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Analytical Thinking, English, Thai

ประเภทงาน:

งานประจำ

• BANGKOK GENERAL OFFICE.
• Do you want to be in the driver's seat selling our global brands?.
• Are you interested in building long-term business relationships with our customers?.
• Do you have the passion for crafting and negotiating plans which champion shared value for our customers, clients and Company?.
• If so, Procter & Gamble is the right place to kick-start your career & leadership development as our Medical Sales Representative.
• Your team.
• This role reports to a Sales Manager and will be part of a sales team in which trust, team spirit, a real passion for winning, and leadership are very meaningful.
• How success looks like.
• Full ownership and high accountability of your business (i.e. account, territory, area, customers).
• Able to develop and recommend business strategies to achieve short-term and long-term business growth for customers and for P&G.
• Able to abide with P&G's Purpose, Values and Principles, and P&G policies especially in handling confidential information.
• Engage regular interaction with assigned customers and by developing new projects to achieve sales objectives and goals.
• Carry the message to health care professional in an objective and clear way based upon the brand strategy.
• Make calls on existing or potential customers and serve as representative of the Company in all matters concerning product and service delivery.
• Keep abreast of new products or services and other general information of interest to customers while continuously upgrading one's product knowledge and selling techniques.
• Transform information captured from the field and from interactions with customers/external partners to insights for developing programs and plans that will further build the business.
• Job Qualifications.
• Welcome for Fresh graduate (bachelor's degree) in Pharmacy or relevant in the health sciences field with an excellent academic background.
• Preferred - Minimum 1 year of Sales experience in the pharmaceutical industry with a proven performance record.
• Preferred - Experience and/or training in chain pharmacy, specifically in Field Sales, Trade Marketing, and Sales Management in the Pharmaceutical or FMCG industry.
• Born leaders and are passionate to make things happen.
• Have strong analytical thinking and skills.
• Proficient in English and Thai.
• Hold a valid driver's license and be flexible to relocate as your assignment could require.
• About us.
• We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always , Ariel , Gillette , Head & Shoulders , Herbal Essences , Oral-B , Pampers , Pantene , Tampax and more. Our community includes operations in approximately 70 countries worldwide.
• Visit.
• http://www.pg.com.
• to know more.
• Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we're committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being "in touch" so we craft brands and products to improve the lives of the world's consumers now and in the future. We want you to inspire us with your unrivaled ideas.
• We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.
• Job Schedule.
• Full time.
• Job Number.
• R000156571.
• Job Segmentation.
• Entry Level.

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

Recruitment

ประเภทงาน:

งานประจำ

• Evaluate an individual's medical history or physical condition, occupational hazards, financial background, insurable interest and other information to determine whether to accept, modify or decline a risk.
• Collaborate with the field force or other functions of AIA to gather information for decision-making.
• Explain and defend any underwriting actions.
• Responsible for other relating tasks as assigned to align with business policy and build long term business growth.
• Explore opportunity to improve work flow and build healthy environment.
• Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
• In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link.
• https://www.aia.co.th/th/about-aia/privacy/candidate.
• Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
• You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.

ประสบการณ์:

1 ปีขึ้นไป

ประเภทงาน:

งานประจำ

Key Tasks/Activities: Study and update product knowledge and news. Marketing: Prepare leaflets, specifications and sales support documents. Reduce costs of current products and prepare FDA coordination documents. Manage product files, packaging configurations, and documentation. Requirements: Bachelor's degree in science or related field. At least 1 year of product specialist experience.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

Recruitment, English

ประเภทงาน:

งานประจำ

• Generate and execute the Local Medical Plan in alignment with the Global and Regional Medical Plans and contribute to the development of the Local Brand Plans and strategies by communicating medical insights and knowledge about the product or disease area, in particular with reference to recent publications around patient's needs and treatment trends, and insights derived from contacts with Thought Leaders, other HCPs or payers.
• Identify the need for local Medical Consultants and/or Advisory Boards and execute e ...
• Medical support for internal stakeholders.
• Support & Trainer.
• Support MSLs for coaching and guide medical strategic direction.
• As appropriate, contribute to the initial and ongoing medical/scientific disease area and product-specific training of internal and field-based Amgen personnel (Brand team, Sales force, etc) - in collaboration with the training department, if any - enabling understanding and balanced communication of the scientific benefits of a Brand.
• __Expert Contributor to Internal Customers__.
• Provide scientific support to Internal Stakeholders, specifically to Marketing, Regulatory, Outcomes Research, Pharmacovigilance, Legal Counsel and Market Access.
• Contribute to the success of Medical Education activities by reviewing the proposed presentations for scientific rigor and accuracy, where Company policies, and applicable laws, regulations and ethical standards permit it.
• __Promotional Material & Activities Contributor and Reviewer__.
• Contribute to the development of clinical data to be included in promotional review materials and review overall materials (as appropriate and consistent with SOPs).
• Identify, profile and develop appropriate experts for the advisory boards and speaker activities.
• Scientific Exchange with Thought Leaders.
• Map and profile Thought Leaders at the country level.
• Develop and execute a local TL/HCP engagement plan.
• Proactively and/or reactively interact with healthcare providers, as appropriate, through face to-face meetings and other available means of communication (web conferences, teleconferences, e-mail, etc), by focusing mainly on prioritizing the activities described in the Medical Plan, in alignment with the affiliate brand plan.
• Provide Medical Services to External Customers.
• Demonstrates ability to present approved scientific data to healthcare providers, ensuring medical accuracy, and compliance, with local procedures, ethical and legal guidelines and directives.
• Liaise appropriately and effectively with the Medical Information team that services the local market, to develop a systematic follow up interaction plan with Thought leaders in order to ensure customer satisfaction with the information received in response to their unsolicited scientific questions or requests. Act as the in-field medical expert to discuss responses and/or expand on the content upon the Thought leader's requests.
• Collect and communicate Medical Insights across the team.
• Understand the medical landscape within the Disease Area and continuously update and proactively share this knowledge including expertise in products, patient treatment trends, unmet medical needs, clinical trials and scientific activities).
• Provide clinical trial support.
• Contribute to the identification, at an early stage, of potential opportunities for country participation in clinical development programs, by early mapping of centers of excellence, treatment trends and recruitment potential in untapped therapeutic areas / with new compounds.
• Work with GDO to review global/regional/local protocols, set local recruitment targets and contribute to site selection.
• Support Pharmacovigilance Activities.
• Working closely in collaboration with local Pharmacovigilance, contribute to ensuring the highest standards of investigational and marketed product safety and compliance.
• Support Expanded Access Activities.
• Working closely in collaboration with supply chain, local regulatory and Pharmacovigilance, contribute to ensuring that access to pre-registration drugs is provided to the highest standards of compliance and safety.
• Compliance.
• Endorse and implement a culture of compliance.
• Adhere to all internal and external rules and regulations.
• Win.
• What we expect of you.
• Knowledge Desired.
• Advanced disease Area knowledge, including key scientific publications.
• In-depth knowledge of a scientific or clinical area.
• In-depth knowledge of relevant Amgen products.
• Knowledge of clinical trial design and process.
• Knowledge of Country/Regional Regulatory and Reimbursement system.
• Knowledge of the pharmaceutical industry.
• Fluent english language communication skills, spoken and written.
• Basic statistical techniques.
• Medical or scientific education or experience from similar positions.
• Experienced medical advisor/ medical affiare manager with expertise in Cardiovascular-Endocrinology in pharmaceutical companies.
• Willingness to travel; possesses valid driver's licens.
• Experiences Desired.
• At least five years work experience in medical affairs or therapy are in pharmaceutical industry with experience of working in matrix environment.
• Working in a scientific and/or clinical research environment.
• Translating scientific or clinical data into compelling communications to help physicians best serve their patients.
• Effectively communicating and presenting scientific and/or clinical data to research or healthcare professionals.
• Developing peer-to-peer relationships with top-ranking doctors, scientists or other healthcare professionals.
• Training others.
• Quickly and comprehensively learning about new subject areas and environments.
• Thrive.
• What you can expect of us.
• As we work to develop treatments that take care of others so we work to care for our teammates' professional.
• and personal growth and well-being.
• Vast opportunities to learn and move up and across our global organization.
• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act.
• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits.

ทักษะ:

English

ประเภทงาน:

งานประจำ

• The Position.
• The Medical Science Liaison is responsible for engaging in non-promotional, peer-to-peer communications and providing medical/scientific information to Scientific Leaders (SLs) and Key Decision Makers (KDMs) and fosters cross-functional collaboration.
• Job scope: Field work and office [70:30].
• Engage in non-promotional, peer-to-peer exchange of medical and scientific information with SLs or KDMs to the extent permitted by law and local regulation, local industry codes, and other provisions of the company Guiding Principles.
• Gain deep insights on disease, therapeutic area and healthcare needs, data gaps and challenges in their local geography.
• Represent Medical Affairs at local or regional non-promotional medical events (e.g. Medical Congresses and Symposia) may collaborate in the coordination of pre-event scientific information and post-event scientific summaries.
• Respond to unsolicited requests for medical, scientific, pipeline or marketed product information or indications from SLs or KDMs, utilizing appropriate approved scientific materials.
• Respond to unsolicited requests for information on company research and/or grant activities by directing SLs or KDMs to appropriate company resources for grants, sponsored clinical trial involvement, and outcomes research.
• Organize and participate in medical and scientific exchange activities, which include but are not limited to hospital lectures, journal clubs, expert input forums, and advisory boards may take the role as presenter.
• Share, on a reactive basis, the publicly available areas of interest with SLs and direct them to the appropriate resources for further information.
• Provide medical/scientific support, including written documentation and/or verbal interactions for Health Technology Assessments and formulary decisions, following the principles of scientific exchange as outlined in the company Guiding Principles.
• Formulate local/regional Medical Affairs Plans and implement its activities.
• Support the identification of potential study investigators for sponsored studies, at the request of the clinical trials organization personnel.
• Provide insights on the scientific gaps, ideas and other topics gathered from scientific exchange to inform areas of interest, development programs, and company strategy.
• Support company commercial colleagues by providing on-label or disease state scientific training, when requested and where allowed.
• Strong scientific baseline knowledge in assigned therapeutic area(s), clinical trial methods, implementation, and data interpretation.
• Ability to present scientific and other technical information with confidence, in a way that engenders trust and credibility.
• Excellent communication skills, including listening and probing skills, across a variety of internal and external audiences.
• Strong collaboration skills and ability to function within a team environment.
• Ability to understand and apply SOP s, relevant regulations, and different systems management.
• Required Education, Experience and Skills.
• College education degree in pharmacy or related field.
• Relevant pharmaceutical experience.
• Fluent English.
• Expert scientific knowledge.
• Scientific exchange.
• Research support.
• Communication, including listening and probing skills.
• Collaboration.
• Secondary Job Description.
• Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women's Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. Our Vision is clear: A better and healthier every day for every woman.
• As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants.
• Search Firm Representatives Please Read Carefully.
• Organon LLC, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
• Annualized Salary Range.
• Annualized Salary Range (Global).
• Annualized Salary Range (Canada).
• Please Note: Pay ranges are specific to local market and therefore vary from country to country.
• Regular.
• No relocation.
• Travel Requirements: Organon employees must be able to satisfy all applicable travel and credentialing requirements, including associated vaccination prerequisites.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• ดูแลและให้ข้อมูลผลิตภัณฑ์แก่โรงพยาบาลและห้องปฏิบัติการ.
• Support การใช้งานสินค้าแก่ลูกค้า.
• ประสานงานกับทีมขายและทีมภายใน.
• จัดเตรียมเอกสารผลิตภัณฑ์และข้อมูลวิชาการ.
• ติดตาม feedback และความพึงพอใจของลูกค้า.
• วางแผนเข้าพบลูกค้าและสร้างความสัมพันธ์ระยะยาว.
• วุฒิปริญญาตรีขึ้นไป สาขาวิทยาศาสตร์การแพทย์ / เทคนิคการแพทย์ / ชีววิทยา หรือสาขาที่เกี่ยวข้อง.
• หากมีประสบการณ์ด้านเครื่องมือแพทย์หรือผลิตภัณฑ์ในโรงพยาบาลจะพิจารณาเป็นพิเศษ.
• มีทักษะการสื่อสารและการประสานงานที่ดี.
• สามารถเดินทางพบลูกค้าได้.
• มีความรับผิดชอบและพร้อมเรียนรู้สิ่งใหม่.
• มีรถยนต์ส่วนตัวและใบอนุญาตขับขี่.
• สิทธิประโยชน์ (Benefits).
• เงินเดือนประจำ (ตามตกลง) + Incentive.
• ค่าน้ำมันและค่าเสื่อมรถ (Travel Allowance).
• ประกันสังคมและสวัสดิการอื่นๆ.
• สนใจส่ง Resume ได้ทาง Email: [email protected]**.

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:

1 ปีขึ้นไป

ทักษะ:

Data Analysis, Python

ประเภทงาน:

งานประจำ

• Develop and deploy predictive models and AI/ML solutions to solve business challenges, improve operations efficiency, competitiveness, and business performance.
• Build and maintain datasets optimized for analytics and modeling.
• Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience developing machine learning or statistical models for business problems.
• Strong programming skills in Python or similar languages for data analysis and modeling.
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with ML frameworks and data visualization tools.
• Understanding of model deployment and monitoring concepts.

ทักษะ:

Statistical Analysis

ประเภทงาน:

งานประจำ

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

ประสบการณ์:

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).

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:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

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

ทักษะ:

Mechanical Engineering, Microsoft Office, Recruitment, ERP, English

ประเภทงาน:

งานประจำ

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. Completes technical-oriented service tasks of various scopes and supports in planning and managing these tasks. Job Description This job may include any aspect of field support, and is not limited to system hard ...