Sr. Manager, Data Science
1 week ago
Leading, executing, and delivering data science projects for clients in Thailand.Developing detailed project scopes and methodologies, designing, and.....
- 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.
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