เงื่อนไขการค้นหา

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Python, C++

ประเภทงาน:

งานประจำ

• รวบรวมข้อมูลจากแหล่งต่างๆ (Data Collection) และจัดเตรียมข้อมูล.
• วิเคราะห์ข้อมูลและประมวลผลข้อมูลตาม Data Model.
• จัดทำ Visualization แสดงผลของข้อมูล เพื่อนำเสนอสารสนเทศที่สังเคราะห์ได้จากข้อมูล Big Data.
• พัฒนา Data Scince Modle เขียนโปรแกรมเพื่อประมวลผลข้อมูลโดยอัตโนมัติและเชื่อมต่อกับส่วนประกอบอื่นๆ.
• ทดสอบการทำงานของโปรแกรม.
• ประชุมเก็บรวบรวม Business requirement, Process จาก User.
• ปฎิบัติงานอื่นๆ ตามที่ได้รับมอบหมายจากผู้บังคับบัญชา.
• วุฒิการศึกษา ปริญญาตรี หรือ ปริญญาโท.
• จบคณะวิทยาศาสตร์ สาขาคอมพิวเตอร์ หรือที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานอย่างน้อย 2 ปี ในตำแหน่ง System Analyst & design หรือที่เกี่ยวข้อง.
• สามารถวิเคราะห์ระบบตามที่บริษัทกำหนดได้.
• สามารถออกแบบระบบได้.
• มีความรู้ใน Oracle หรือ Microsoft SQL.
• มีความรู้ด้าน Object Oriented Programming เป็นอย่างดี.
• พัฒนาโปรแกรมแบบ Model View Control ได้.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Database Administration, Python, Analytical Thinking, Good Communication Skills, English

ประเภทงาน:

งานประจำ

• Lead and perform end-to-end large-scaled data discovery (e.g., data acquisition, data cleansing, data modelling) together with developing effective algorithms to provide actionable insights leading to business improvement (e.g., operation improvement, value-added services, growth of revenue).
• Conduct and run data experiment to prototype new data innovation ideas, explore a variety of approaches and refine promising ideas into product ready model or new model.
• Manage (prioritize) and support requests on data analysis and data analytic assignments from business units to identify actionable insights and make recommendations for strategic decision making.
• Communicate findings and build buy-in with key stakeholders through business insights finding, data prototyping or innovation demonstration.
• Coach junior data scientists/ data analyst on technical knowledge. Maintain knowledge of data science trends and regularly share knowledge with the team.
• Collaborate with partners to scale data innovations to make business impact.
• Bachelor or Master Degree in Quantitative fields (e.g., Math, Statistics, Engineering, Statistics, Computer Science, Operational Research) or Equivalent industry experience.
• Over 2 years of professional experience in data analytics, data science or data engineering. Proven track records to leveraging data analytics/data science to create business impact.
• Having experience in data science & analytics, data visualization, data architecture, or data engineering, Programming language (Python, R or Matlab), SQL/ NoSQL, Tableau.
• Good at English language.

ประสบการณ์:

4 ปีขึ้นไป

ทักษะ:

Agile Development, Software Development, Full Stack

ประเภทงาน:

งานประจำ

• Work across the front end apps development, building highly scalable distributed solutions that enable positive user experiences and measurable business growth.
• Develop new features and infrastructure in support of rapidly emerging business and project requirements.
• Assume leadership of new projects, from conceptualization to deployment.
• Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
• Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities.
• If you're also familiar with Agile methodologies, we'd like to meet you.
• Work with development teams and product managers to ideate software solutions.
• Design client-side architecture.
• Build the front-end of applications through appealing visual design.
• Develop and manage well-functioning databases and applications.
• Test software to ensure responsiveness and efficiency.
• Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Build features and applications with a mobile responsive design.
• Write technical documentation.
• Work with data scientists and analysts to improve software.
• Managing the complete software development process from conception to deployment.
• Maintaining and upgrading the software following deployment.
• Managing the end-to-end life cycle for the production of software and applications.
• Overseeing and guiding the analyzing, writing, building, and deployment of software.
• Overseeing the automated testing and providing feedback to management during the development process.
• Modifying and testing changes to previously developed programs.
• Who are we looking for?.
• At least 4 years of experience as frontend engineer.
• Proven experience as a Full Stack Developer or similar role.
• Experience developing react based web and native mobile applications for iOS (swift) and Android (Flutter).
• Familiarity with common stacks.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery).
• Knowledge of JavaScript frameworks (e.g. Angular, React, Node.js).
• Familiarity with databases (e.g. MySQL, MongoDB).
• Excellent communication and teamwork skills.
• Great attention to detail.
• Organizational skills.
• An analytical mind.
• Degree in Computer Science, Statistics or relevant field.

ทักษะ:

Research, Python, SQL, Thai

ประเภทงาน:

งานประจำ

• Read, understand, and replicate research papers to help train custom models and enhance our search capabilities.
• Apply knowledge in Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Develop expertise in Thai language NLP tasks, such as vector creation, closest word match, handling tokenization, and fuzziness in non-space languages, using neural networks.
• Work with backend servers and REST APIs to integrate data science solutions into our platform.
• Analyze data and focus on hands-on, results-oriented approaches rather than theoretical modeling.
• Productionize models and collaborate with cross-functional teams to ensure smooth implementation and optimal performance.
• Fine tune LLMs and understand MLOPs.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Scientist, preferably in the search domain and Thai language retail search niches.
• Strong understanding of Siamese networks, XGBoost, Learning to Rank, Two Towers, reranking, relevancy tuning, collaborative filtering, and building embeddings.
• Familiarity with NLP techniques and challenges specific to the Thai language.
• Experience with backend servers and REST APIs.
• Excellent analytical and problem-solving skills, with a focus on hands-on, results-oriented approaches.
• Strong programming skills in Python and SQL.
• Experience with machine learning frameworks such as TensorFlow.
• Familiarity with cloud platforms, preferably AWS.
• Health Insurance - At Maknet, we care about your health! Group insurance from a top insurance company is included in your benefits OPD, IPD, Emergency OPD.
• Provident Fund - Maknet cares about your long-term plan! We offer 3% provident fund.
• Year-end bonus - We include variable and performance bonus for our employees.
• Gym Facilities - Our Head office has a fitness center, yoga room, and recreational space. Enjoy Bangkok scenery and work your body!.
• Attractive Vacations days - Enjoy our attractive annual leave. Let s say the minimum is 18 days!.
• Flexible working hours - We know people have different productive cycles. Choose your way of work whether you are a night owl or an early riser.
• No overtime - We work 5 days a week with. We set our own goals and deadlines.
• Cool hardware - New MacBook. The tool to help you be the best of yourself.
• Free car parking space - No more stress or extra cost if you drive to work. We offer free parking space for our employees.
• Best Culture
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Thai and Non-Thai are both welcome!.
• Non-hierarchical and agile environment.
• Growth opportunity and career path.

ประสบการณ์:

7 ปีขึ้นไป

ทักษะ:

Statistics, Research, SAS

ประเภทงาน:

งานประจำ

• Leading, executing, and delivering data science projects for clients in Thailand.
• Developing detailed project scopes and methodologies, designing, and implementing solutions using appropriate tools and techniques.
• Building strong relationships with Visa partners, clients, and corresponding data science & analytics teams, driving collaboration, and ensuring the implementation of Visa's recommendations.
• Maintaining quality control and up-to-date documentation for all data science projects.
• Innovating by utilizing Visa's data, client data, and non-traditional data sources to meet client needs.
• Enhancing existing data science and analytic techniques by promoting new methodologies and best practices.
• Fostering thought leadership in the data science domain and building intellectual property through innovation.
• Managing communication with clients and stakeholders effectively.
• Mentoring, guiding, and supervising data scientists in the project team.
• Delivering analytics projects from inception to completion, providing actionable insights and recommendations.
• Identifying opportunities for innovation using non-traditional data and new modeling techniques.
• Managing internal and external stakeholders.
• Supervising data scientists reporting to this role.
• Developing data-driven solutions using Visa data.
• Building data science visualization capabilities to address client problems.
• Driving innovation using data science techniques.
• Advocating for data science within partner organizations, advising and coaching analytical teams, and sharing best practices and case studies.
• Continually assessing the environment to challenge assumptions about data sources, potential analytics partners, tools, talent, and infrastructure.
• Exploring and adopting leading methodologies and best practices from other international markets.
• This is an individual contributor role.
• We are looking for a motivated, analytical minded individual with a track record of using data science and analytics expertise to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about payments industry and application of data analytics, should be results-driven and client-centric.Degree (master's or Ph.D. would be an advantage) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.
• 7+ years of experience in performing data exploration and feature engineering.
• 8 -10 years of professional work experience in banking, payments, or related industry.
• Hands on experience with data analytics/programming tools such as SAS/Salford SPM/Hadoop/R/SQL/Python/Hive, and a working knowledge of Hadoop ecosystem.
• Proficiency in statistical techniques: Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, Factor analysis, etc.
• Demonstrated experience in planning, organizing, and managing multiple and concurrent analytics projects with diverse cross-functional stakeholders.
• Strong internal team and external client stakeholder management with a collaborative, diplomatic, and flexible style, able to work effectively in a matrixed organization.
• Excellent presentation and storytelling skills, including strong oral and written capabilities.
• Storyboarding and data storytelling including strong Excel and PowerPoint skills.
• In market experience and/or knowledge of local language, culture as well as industry regulations.
• Additional InformationVisa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.