Company Description|Job Description
As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable & secure payment network - enabling individuals, businesses, & economies to thrive. Our advanced global processing network, VisaNet, provides secure & reliable payments around the world, & is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, & fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network & scale to reshape the future of commerce.
At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, & be part of an inclusive & diverse workplace. We are a global team of disruptors, trailblazers, innovators & risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, & doing meaningful work that brings financial literacy & digital commerce to millions of unbanked & underserved consumers.
You're an Individual. We're the team for you. Together, let's transform the way the world pays.
To ensure that Visa's payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners & 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 & 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 & 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.
Positions are available in the Washington, DC & San Francisco Bay metro areas. Please ONLY apply for your top choice of location.
Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
Communicate with clients to understand the challenges they face & convince them with data
Extract & understand data to form an opinion on how to best help our clients & derive relevant insights
Develop visualizations to make your complex analyses accessible to a broad audience
Find opportunities to craft products out of analyses that are suitable for multiple clients
Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
Mine & analyze data from company databases to drive optimization & improvement of product, marketing techniques & business strategies for Visa & its clients
Assess the effectiveness & accuracy of new data sources & data gathering techniques.
Develop custom data models & algorithms to apply to data sets.
Use predictive modeling to increase & optimize customer experiences, revenue generation, data insights, advertising targeting & other business outcomes.
Develop processes & tools to monitor & analyze model performance & data accuracy.
- 2 years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
2+ years' experience in data-based decision-making or quantitative analysis
Bachelor's degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
Experience with extracting & aggregating data from large data sets using SQL or other tools
Competence in Excel, PowerPoint & Tableau
Experience in understanding & analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
This position will be performed in an office setting. The position will require the incumbent to sit & stand at a desk, communicate in person & by telephone, frequently operate standard office equipment, such as telephones & computers, & reach with hands & arms.
This position requires incumbent to travel for work 0-5% of the time.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines & applicable local law.