Atlanta, Georgia, United States
Hybrid
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.
Visa will accept applications for this role until at least 06-02-2026Job Description
The Global Data Science group supports our bank and merchant partners by using our extraordinarily rich data sets that span more than 4 billion cards globally and captures more than 190 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. To support our rapidly growing scope of work capabilities at the intersection of data science, analytics and AI, we are looking for Senior Data Scientists who are passionate and leading team members and solving complex data problems using Visa rich dataset and technical toolkit. You will join one of the Data Science focus areas (e.g., merchants, issuers, enablers, fintechs) and have the opportunity to engage across the Data Science teams, providing broad exposure to Visa’s business.
Essential Functions:
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) • 2+ years’ experience in data-based decision-making or quantitative analysis, including exposure to LLMs and GenAI applications • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus) • Experience in understanding and analyzing data using Python or Other statistical software • Experience with extracting and aggregating data from large data sets using SQL, Hive, Spark or other tools • Experience and comfort with machine learning techniques and accompanying packages. • Experience with LLM orchestration frameworks (LangChain or similar), vector databases, and embedding models • Competence in Excel, PowerPoint and Tableau • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not requiredU.S. Applicants Only
The estimated salary range for this position is $116,800.00 to $ 180,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed 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.
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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.Want to know if this job is worth applying to?