4 936 Analysts jobs in Vietnam

JOB RESPONSIBILITIES

Data infrastructure and pipeline

• Create, build, and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources.
• Deliver high-quality, production-ready data pipelines that bring and cleanse data from source systems to support AFC model build.
• Implement processes/systems to monitor data quality, and drive optimization, testing and tooling to improve data quality.
• Design and/or evaluates open source or vendor tools to be used for data lineage mapping.
• Make sure info/data flow from system to system is correct.

Support model development and deployment

• Liaise closely with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for AFC models.
• Liaise with Business Analyst and ensure assembled data sets used for model build meet business requirements.
• Support Data Scientist(s) in developing model narratives by providing inputs from a data perspective (e.g., data requirements, data availability)
• Support Data Scientist(s) in ongoing testing of models/outputs during development, prior to more formal model validation by an independent team
• Create a model deployment pipeline to automate deployment of models in BANK's environments/systems, and work closely with Data Scientist(s) in the Modelling team and other stakeholders (e.g., Group Technology and Operations) to ensure models are production ready.
• Ensure the seamless deployment of new AFC analytics solutions and models without breaking anything or creating unintended effects in the production pipeline.

Enhancement and support

• Identify, design, and implement enhancements for internal process related to data (e.g., optimizing data delivery, re-designing infrastructure for greater scalability) to improve data reliability, efficiency, and quality.
• Performs data analysis required to troubleshoot data related issues and support the resolution of raised data issues.
• Support BANK in adopting and/or migrating to new production environment, if needed

Team Contributions

• Support the validation team lead in defining and maintaining minimum standards of model performance, applicable at the time of model development and upheld via subsequent validation exercises
• Keep up to date with changes to regulatory requirements, recommendations and industry standards in analytics and management of AML / AFC risk, and propose updates to minimum standards of model development (in discussion with validation team lead)
• Support Head of the validation team in developing validation calendar
• Where required provide views on tools / system enhancements required to conduct model validation.

Model Validation

• Conduct independent validation of AFC / AML models as per the standards defined by the validation team, and document all findings in a comprehensive report, along with recommended areas of attention (to bridge any gaps identified)
• Review further action by model owners on areas of attention identified in previous reports related to the same model, and call out gaps (if any)
• Check and challenge all steps of the model creation, data usage and value to the business. Review all codes used in model development and implementation for accuracy and consistency with documented approach.
• Where needed, produce and present reports to various working teams on validation findings.
• Prepare independent reports on performance of AFC models to senior management on a regular basis
• Remain involved in the review panel for any new models developed by the Modelling team / other teams when delegated by validation lead.

JOB REQUIREMENTS

• Bachelor's degree, or equivalent, in Banking and Finance, Computer Science, Engineering, Statistics, Mathematics, Business Analytics etc.
• The role is expected to have years of experience working in the banking and technology and/ or data analytics space, preferably 2 - 3 years of experience working in with advanced analytical models/ tools/ applications (e.g., machine learning, data-lake) in banking areas.
• Prior experience working on large-scale analytics projects (eg. Data Lake)
• Comfortable working with structured and unstructured data and distributed databases. Familiar with best practice development and validation standards
• basic understanding and knowledge of banking, risk management, regulatory recommendations and industry standards related to AML/AFC/compliance risks. Experience in or familiarity with analytics related to AML/AFC/Compliance risks are advantages.
• Ability to clearly communicate complex results in an easy-to-understand manner and tailoring them to different audiences.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience in project management, ability to handle multiple priorities and work under pressure.
• Experience in data engineering tools, schema design, dimensional data modelling, robotic process, natural language processing and network link analysis
• Ability to create and maintain production ready data pipeline and deployment pipeline.
• Strong people skills and take a big picture approach to planning.
• Strong communication skills to interact with data scientists, business end-users, and possibly external vendors to design and develop data solutions.

Mô tả công việc:

(Mức lương: triệu VNĐ)

Xây dựng và phát triển hệ thống ETL/ELT pipelines phục vụ xử lý dữ liệu lớn. Triển khai giải pháp CDC (Change Data Capture) từ các hệ thống ERP/CRM.Thiết kế và quản lý Data Lakehouse (Bronze/Silver/Gold layers) với Iceberg/Delta Lake. Thực hiện chuyển đổi dữ liệu bằng dbt, xây dựng mô hình dữ liệu, lớp chỉ số, kiểm thử chất lượng dữ liệu.Đảm bảo chất lượng và tính toàn vẹn dữ liệu thông qua kiểm thử (Great Expectations, schema validation).Phân tích và xây dựng mô hình dữ liệu cho lĩnh vực FMCG: bán hàng, phân phối, trade promotion.

Chức vụ: Nhân Viên/Chuyên Viên

Hình thức làm việc: Toàn thời gian

Quyền lợi được hưởng:

Mức lương cạnh tranh, thỏa thuận theo năng lực.Tham gia đầy đủ BHXH, BHYT, BHTN.Môi trường làm việc năng động, cơ hội tiếp cận công nghệ dữ liệu mới nhất.Được đào tạo, nâng cao kỹ năng chuyên môn, cơ hội thăng tiến rõ ràng.

Yêu cầu bằng cấp (tối thiểu): Trung cấp - Nghề

Yêu cầu công việc:

Thành thạo Python (Pandas, Polars, PySpark) và SQL nâng cao (PostgreSQL, ClickHouse).Kinh nghiệm làm việc với Kafka/Redpanda, Flink/Spark Streaming.Có kiến thức về Airflow/Prefect, MinIO/S3, Parquet optimization.Hiểu biết về API (REST/Webhook) để tích hợp DMS.Ưu tiên ứng viên có kinh nghiệm trong ngành FMCG.Tư duy logic, cẩn thận, chủ động học hỏi công nghệ mới.

Yêu cầu giới tính: Nam/Nữ

Ngành nghề: Dữ Liệu - AI - Học Máy

Trung cấp - Nghề

Không yêu cầu

About Agoda
Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose -
Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.

We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Get to Know Our Team
The Data department , based in Bangkok , 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
Please note -The role will be based in Bangkok.
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.

Discover More About Working At Agoda

• Agoda Careers
• Facebook
• LinkedIn
• YouTube

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.

• Assist in collecting, cleaning, and pre-processing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and implementation of statistical models and machine learning algorithms.
• Create visualizations and dashboards to communicate data insights effectively.
• Collaborate with senior data scientists and analysts on ongoing projects.
• Assist in generating reports and presentations summarizing findings.
• Help maintain data quality and integrity across databases.
• Learn and apply new data analysis techniques and tools.
• Contribute to the documentation of data processes and methodologies.
• Participate in team meetings and contribute to discussions on data-related challenges.
• Gain practical experience in data storytelling and business impact assessment.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Solid understanding of statistical concepts and their applications.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, dplyr).
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large datasets.
• Good communication and teamwork skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data analysis is advantageous.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis techniques.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Ability to work effectively in a remote environment.
• Strong communication and collaboration skills.
• Eagerness to learn and apply new data science methodologies.
• Enthusiasm for uncovering insights from data.

• Well-known multinational corporation
• Working along with top-notch tech talents

About Our Client
Top brand in the global market with clear strategy of why, what and how to lead the AI wave and apply it to solve real life business problems.

Job Description

• Strategic Leadership: Define and execute regional data science strategy aligned with business goals.
• Team Management: Lead and mentor a high-performing data science team.
• Project Oversight: Manage end-to-end delivery of analytics projects, ensuring impact and scalability.
• Business Insights: Deliver actionable insights through predictive modeling and standardized measurement techniques.
• Innovation & R&D: Identify and develop new analytics opportunities; stay ahead of industry trends.
• Stakeholder Engagement: Translate complex data into business strategies; liaise with technical and non-technical teams.
• Governance: Ensure standardization and MLOps best practices across platforms and solutions.
• Partnerships: Collaborate with internal and external partners to enhance analytics capabilities.

The Successful Applicant

• Education: Master's or PhD in Data Science, Computer Science, Statistics, or related field.
• Experience: 10+ years in data science, 7+ years in leadership, preferably in FMCG or similar industries.
• Technical Skills: Proficient in ML, Python, R, SQL, big data platforms (Hadoop, Spark), cloud services (AWS, Azure, GCP), and visualization tools (Tableau, Power BI).
• Leadership: Strong strategic thinking, project management, and team leadership.
• Soft Skills: Excellent communication, collaboration, and problem-solving abilities.
• Language: Fluent in English.

What's On Offer

• Lead the regional initiatives in AI/ML and Data Science
• Lead multi-million USD projects including talents from different countries.

Contact: Harry Dao
Quote job ref: JN

Key Responsibilities

• Data Strategy & Leadership
• Define and execute the enterprise-wide data & analytics strategy aligned with the bank's business priorities.
• Build and lead a high-performing team of data scientists, data engineers, and BI specialists.
• Promote a strong data-driven culture across the organization.
• Data Governance & Management
• Establish data governance frameworks, policies, and standards to ensure data quality, security, and compliance with local and international regulations (e.g., SBV, Basel, GDPR).
• Oversee data architecture, data warehousing, and master data management.
• Analytics & Insights
• Drive the adoption of advanced analytics, predictive modeling, and AI/ML solutions to support risk management, fraud detection, credit scoring, and customer personalization.
• Translate complex data insights into actionable recommendations for senior management.
• Collaboration & Stakeholder Engagement
• Partner with business leaders (Risk, Finance, Operations, Marketing, Digital Banking) to identify data-driven opportunities.
• Work closely with IT to modernize data platforms (cloud, big data, real-time analytics).
• Innovation & Continuous Improvement
• Stay updated with emerging technologies (AI, GenAI, cloud data platforms, open banking).
• Drive proof-of-concepts (POCs) and scale successful innovations into production.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Finance, or related field.
• 12+ years of experience in data analytics, business intelligence, or data science, with at least 5 years in a leadership role.
• Strong expertise in data governance, data architecture, and regulatory compliance for banking/financial services.
• Proven track record of delivering large-scale data initiatives in banking, fintech, or financial institutions.
• Hands-on knowledge of analytics tools & platforms (SQL, Python, R, Tableau, Power BI, Hadoop, Spark, cloud platforms).
• Excellent leadership, communication, and stakeholder management skills.
• Strong business acumen with the ability to link data initiatives to business outcomes.

Hồ Chí Minh

Full-time

Data Scientist Manager in the Ads team advise business stakeholders on how to solve problems with advanced analytics, build predictive models, and work with engineers to deliver production model

• The research applied data science problems in our ads systems to improve prediction accuracy, auction strategies, and drive advertiser value;
• Work closely with engineering and product teams to develop hypotheses, run experiments and prototype new product ideas;
• Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights, and identify new opportunities.;
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop an understanding of the ads targeting/auction/delivery.

• 5+ years of experience working in Big Data, Machine Learning, especially in recommendation areas, ideally in an industry-leading company;
• BS, MS, Ph.D. in Statistics, Mathematics, Economics, Computer Science, or other quantitative fields;
• Proficiency in programming using Python, Pytorch, SQL, NoSQL,…;
• Proficiency in data structures and algorithms, machine learning, reinforcement learning, and deep learning;
• Intellectual curiosity, effective communication, and excellent presentation skills;
• Familiar with MLOps concept and toolkit is a plus;
• Experience in the advertising area is a plus.

Position Overview

We are seeking a highly skilled and innovative
Senior Manager/ Manager – Data Science with expertise in Computer Vision
to join our team. The ideal candidate will work on developing and deploying cutting-edge algorithms and machine learning models to analyze visual data and solve complex challenges. Your role will involve applying deep learning, image processing, and computer vision techniques to contribute to the organization's key projects in industries like manufacturing and agriculture (AI-driven solutions for Livestock Management).

Key Responsibilities

Develop Computer Vision Algorithms:

• Design, train, and optimize deep learning models for tasks such as object detection, segmentation, image classification, and pose estimation.
• Implement and refine image processing techniques for feature extraction, noise reduction, and data augmentation.

Build Scalable Models:

• Develop scalable and efficient pipelines for real-time video and image data processing.
• Collaborate with engineering teams to integrate vision models into production systems.

Data Analysis and Management:

• Collect, preprocess, and analyze large-scale datasets, including labeled and unlabeled visual data.
• Leverage techniques like supervised, unsupervised, and self-supervised learning.

Research and Innovation:

• Stay updated on the latest advancements in computer vision, deep learning, and AI.
• Experiment with state-of-the-art architectures like Transformers, GANs, or Diffusion Models to enhance model performance.

Collaborate Across Teams:

• Work closely with cross-functional teams, including data engineers, software developers, and domain experts, to understand business problems and deliver solutions.
• Present findings and insights to stakeholders using clear visualizations and reports.

Deploy and Monitor Models:

• Deploy models on cloud platforms or edge devices for real-time applications.
• Monitor model performance and implement strategies for continuous improvement.

Qualifications

Education:

• Bachelor's or higher degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Experience:

• Proven experience (3-5+ years) in applying computer vision techniques in real-world projects.
• Hands-on experience with large datasets, image processing libraries, and deep learning frameworks.

Technical Skills:

• Strong programming skills in Python; proficiency in frameworks like TensorFlow, PyTorch, or OpenCV.
• Experience with image and video annotation tools.
• Familiarity with cloud platforms and edge deployment.
• Knowledge of MLOps tools and practices for model deployment and monitoring.
• Understanding of algorithm optimization techniques for performance and scalability.

Soft Skills:

• Strong problem-solving skills with the ability to translate business needs into technical solutions.
• Effective communication skills to present complex technical findings to non-technical stakeholders.
• Collaborative mindset and ability to work in interdisciplinary teams.

Preferred Qualifications

• Experience with 3D computer vision, LiDAR data, or point cloud processing.
• Familiarity with advanced architectures like YOLO, Mask R-CNN, Vision Transformers, or CLIP.
• Knowledge of generative AI models and their applications in computer vision.
• Experience with AR/VR applications or simulations.