As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and 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, and 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 and 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, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

Are you a data analysis ninja? Are your investigative skills worthy of CSI? Do your data visualizations make Tufte envious?  Do you speak Spark? If so, then we just might have the role for you!

We are seeking a passionate and ambitious Data Scientist to collaborate with our model development and production deployment teams. Reporting to the Sr. Director of Models for Credit and Data Products, in this role you will provide production support for the predictive model products that our team builds. This role is crucial to our success by ensuring that the products we build:

• Meet our clients’ needs
• Perform as expected
• Are calibrated and updated on a periodic basis

In this role you will wear many hats and draw upon many skills. Essential responsibilities include providing quality control oversight during development, working with our sales team to demonstrate the effectiveness of our products to prospective clients, monitoring model performance to ensure stable and reliable output. As time permits, many other skills could be exercised as well by building models with our development team or creating re-usable code assets with our deployment team.

This role may be based in Arlington, VA or Foster City, CA.

Basic Qualifications

• Master’s Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or Engineering
• 6+ years of working experience in a predictive modeling, data analysis or data visualization function
• Strong communication skills to work with internal and external clients
• Attention to detail and diagnostic skills to identify root causes of issues identified by users or monitoring tools

Essential Functions

• Assist model development team by providing quality control oversight during their project development
• Provide sales support including pilot testing and retro analysis to demonstrate efficacy of the product
• Provide client support by providing data for projects and answering questions about the model output and its use.
• Ensure each model runs in production as scheduled
• Provide quality control for production output to ensure it aligns with expectations
• Investigate model performance and determine when refits are needed
• As time permits, build predictive models to assist with product development or help the deployment team with reusable code asstes.

Physical Requirements

This position will be in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, reach with hands and arms, and bend or lift up to 25 pounds.

Visa will consider for employing qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.