Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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. When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement. Join Visa: A Network Working for Everyone.

Team Summary Visa's Consulting and Data Science team is a key part of the Global Solutions organization a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative and advanced analytic solutions. The purpose of this team is to help Visa's clients to grow their business & solve their problems by providing consulting services through visa data. What a Data Scientist CoE does at Visa: The person will be part of the Visa Consulting and Analytics (VCA) team will report into Hub Data science lead Specific responsibilities will include: Building & helping our partners to build data science capabilities & analytical solutions to solve their business problems Working knowledge in retail banking & credit card domain to guide the teams on the solution architecture 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs....

Professional Experience • Minimum of 3+ years of analytics expertise in applying statistical solutions to business problems • Experience working in one or more of the Card Payments markets around the globe • Post-graduate degree (Masters or PhD) in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent • Good understanding of the Payments and Banking Industry including aspects such as consumer credit, consumer debit, prepaid, small business, commercial, co-branded and merchant • Good knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies • Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams • Demonstrated ability to incorporate new techniques to solve business problems • Demonstrated resource planning and delivery skills

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.