Total 3 Science / R&D / Research job vacancies in kuala lumpur kelantan

We at LAN-IT 24 (Germany) are currently looking for the location Malaysia (Kuala Lumpur)

Start: ASAP
Duration: 1 year (with option)
Full time (Mon-Fri/40h)

100% Onsite
 
Tasks:
 
- Processing customer enquiries and problems in the area of IT support
- Recording and documentation of customer information and support tickets
- Initial contact and first analysis of technical problems
- Providing solutions and instructions for frequently occurring problems
- Escalating complex cases to second level support
- Monitoring systems and performing basic maintenance tasks
- Updating knowledge bases and creating instructions for customers
- Ensuring a professional and friendly customer service experience
- Tracking and monitoring customer satisfaction
- Assisting with the installation and configuration of software and hardware

 
- Expertise in IT systems, networks and hardware
- Excellent communication skills, local language and English (written and verbal)
- Good problem solving and analytical skills
- Customer orientation and friendly interaction with customers
- Time management and prioritization skills
- Willingness to learn and ability to undertake continuous professional development
- Ability to work and collaborate in a team
 
If you are interested, I would be happy to hear from you. Please send your CV.

kalpna@lan-it24.de

With kind regards

Kalpna

Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.

High interaction with external clients and manage internal and external stakeholders.

Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques

Work with the broader Visa data science team to create data driven solutions.

Focus on building data science visualization capabilities to solve client's problems.

Drive innovation through using data science techniques

Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.

Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.

Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

• 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 a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.