2 Deep Learning jobs in Thailand
Senior Manager, Data Science
Bangkok, Bangkok
Visa
Posted today
Job Viewed
Job Description
**Company Description**
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
- 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.
**Qualifications**
- Degree (masters would be an advantage) in quantitative field such as statistics, mathematics, operational research, computer science, economics, or engineering or equivalent.
- 10+ years of experience in performing data exploration, feature engineering and data visualization.
**Additional Information**
Visa 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.
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
- 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.
**Qualifications**
- Degree (masters would be an advantage) in quantitative field such as statistics, mathematics, operational research, computer science, economics, or engineering or equivalent.
- 10+ years of experience in performing data exploration, feature engineering and data visualization.
**Additional Information**
Visa 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.
This advertiser has chosen not to accept applicants from your region.
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Division Manager (Artificial Intelligence) Nvidia
Bangkok, Bangkok
Ingram Micro (Thailand) Limited
Posted today
Job Viewed
Job Description
Responsible for identifying and executing business opportunities, development of strategies.
Growing the business through identification of potential resellers, establishing, cultivating and developing new partners.
Maintaining reseller base and growing for project base.
Visit each
Growing the business through identification of potential resellers, establishing, cultivating and developing new partners.
Maintaining reseller base and growing for project base.
Visit each
This advertiser has chosen not to accept applicants from your region.
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