Sr. 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) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.Essential Functions:Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomesProvide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clientsBe an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they faceRunning projects from scoping to delivery, and engaging with internal/external partnersConnect with clients to understand the challenges they face and convince them with dataFind opportunities to craft products out of analyses that are suitable for multiple clientsWork with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutionsSynthesize ideas/proposals in writing and engage in productive discussions with external or internal partnersProvide mentorship in modern analytic techniques and business applicationsPrioritize and lead multiple data science projects with diverse multi-functional partnersThis is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.