Sr Data Scientist

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

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 Internal Data & Analytics 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.

Responsibilities

• Apply big data techniques (including artificial intelligence) to analyze high-volume, high-granularity datasets across transactions, volumes, pricing, and client behavior.
• Design and build statistical and econometric models, including regressions, forecasts, scenario analyses, and sensitivity analyses, to explain and predict financial performance.
• Develop repeatable analytical frameworks (not one-off analyses) that can be reused across planning cycles, forecasts, and strategic reviews.
• Translate complex analytical results into clear, executive-ready narratives for FP&A leadership and business stakeholders that go beyond insights to strategic recommendations.
• Develop visualizations to make your sophisticated analyses accessible to a broad audience.
• Find opportunities to craft products out of analyses that are suitable for multiple use cases within NA FP&A.
• Assess the efficiency and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Partner with a variety of Visa teams to provide comprehensive solutions for NA FP&A use cases.
• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners.
• Mentor in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques.

Qualifications

• Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
• PREFERRED Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
• Basic Qualifications: 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
• PREFERRED Qualifications: 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.

Skills & Attributes

• Strong analytical curiosity with a problem-first mindset.
• Ability to work independently while managing multiple parallel workstreams.
• Comfortable navigating ambiguity and translating open-ended questions into structured analyses.
• Clear communicator who can bridge data science, finance, and strategy.
• Highly collaborative and service-oriented, with a strong sense of ownership.