เงื่อนไขการค้นหา

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.

ทักษะ:

ETL, SQL, Hadoop

ประเภทงาน:

งานประจำ

• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experience in Data Management or Data Engineer (Retail or E-Commerce business is preferable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in BigData Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Experience in Generative AI is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• Lotus's
• Ek-Chai Distribution System Co., Ltd.
• Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Big Data, Project Management, Quality Assurance

ประเภทงาน:

งานประจำ

• Management of work packages/modules in critical IT implementation projects.
• Assessment of technical architecture & performance of technical proofs of concept.
• Supporting the analysis of complex IT architectures, Solution Architectures as well as optimization of development processes.
• Running workshops with client IT and business teams to identify and formulate business and IT requirements for core IT systems or innovation topics such as Big Data & Analytics.
• Supporting IT project management and quality assurance in large programs.
• A university degree with above-average academic performance in information technology or a related field.
• Professional experience.
• in the execution and management of (sub)projects using Waterfall and Agile approaches.
• in the field of professional software development or IT project management using Waterfall and Agile methodologies.
• in the assessment of IT target architectures in an enterprise environment, component technologies, and service-oriented architectures.
• Full understanding of interdependencies between her/his own work stream and the overall project context, being able to scope and design a work stream autonomously and take responsibility.
• Extensive technical expertise (overarching understanding of architecture, object-oriented programming languages, database design and systems, component technologies, XML standards, and current technology trends) of digital solutions on mobile devices as well as legacy environments.
• Experience with IT technologies such as No-SQL and SQL DBs, Big Data environments (e.g., Hadoop, Redshift) and PaaS/IaaS platforms such as Pivotal, Heroku, AWS, Azure.
• Experience in the analysis of IT architectures and/or Solution Design.
• A strategic thinker, entrepreneurial, able to work creatively and analytically in a problem-solving environment.
• What You'll Bring (Experience & Qualifications).
• Overall 8+ years' experience in which 3 years in application architecture.
• Outstanding analytical and conceptual skills.
• Distinct client and results orientation.
• Team spirit, communication and presentation skills, and mental agility.
• A confident and convincing manner.
• Flexibility, ability to work under pressure, and willingness to travel.

ทักษะ:

Cooperate, Java, J2EE

ประเภทงาน:

งานประจำ

• Develop and maintenance of pragmatic high quality software to support business requirement.
• Work with technology team to build a maintainable technology infrastructure including build & testing environment.
• Contribute to designing and building production systems on Client/Server and web application.
• Compose system design documents such as database diagram, user manual.
• Execute Unit Test and System Integration Test.
• Cooperate with other teams to work with their backend systems.
• Bachelor s Degree or higher in Computer Engineering, Computer Science, Information Technology or related field.
• At least 0 - 5 years experience in system development.
• Can work as a team, must be able to work under extremely high pressure, excellent communications and interpersonal skill.
• Skill/Knowledge:
• Computer Language - web application, C, C#.Net, Java, J2EE, JSP, Javascript, Java Servlet, Spring, Hibernate, EJB, Strut, Shell Script, PL/SQL, OOP, Android & IOS.
• OS & Database - Oracle, Teradata, Greenplum, Hadoop, Unix, Linux, MySQL, SQL Command/Server, Tunning and Data Stage.
• Reporting Tool - Oracle OBIEE, SAS VA, Tableau, Cognos, Crystal Report.

ทักษะ:

Data Analysis, SQL, Python

ประเภทงาน:

งานประจำ

• Data Cleaning and Preparation - Need to retrieve data from one or more sources and prepare the data so it is ready for numerical and categorical analysis. Data cleaning also involves handling missing and inconsistent data that may affect your analysis.
• Data Analysis and Exploration - Take a business question or need and turn it into a data question. Then, transform and analyze data to extract an answer to that question. Moreover, find interesting trends or relationships in the data that could bring value to a business.
• Creating Data Visualizations and Communication - Produce reports or build dashboards on your findings and communicate to business stakeholders and managements.
• Knowledge:
• Statistical Knowledge.
• Mathematical Ability.
• Programming languages, such as SQL, Python.
• Analytic tools such as Tableau, Power BI.
• TeraData, Big data Hadoop Tech, Cloud Tech.
• Bachelor Degrees in MIS, Business, Economic, Computer Science or related field.
• At least 2-3 year of experience with Data Analysis.
• Experienced in designing and architecture BI / Data Analytics Solutions is preferred.