Data Scientist

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) Essential FunctionsBe an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problemsCommunicate with clients to understand the challenges they face and convince them with dataExtract and understand data to form an opinion on how to best help our clients and derive relevant insightsDevelop visualizations to make your complex analyses accessible to a broad audienceFind opportunities to craft products out of analyses that are suitable for multiple clientsWork with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clientsAssess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.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.