Data Scientist

Visa•Atlanta, GA

4h•Hybrid

About The Position

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. 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 opportunities to engage across the Data Science teams, providing broad exposure to Visa’s business. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Requirements

2 or more 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, 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

Nice To Haves

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)
Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Responsibilities

Use and build new predictive models to innovate and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
Be an out-of-the-box problem solver who is passionate about applying data science techniques and innovate thinking to our unique data to help our clients both innovate and solve the problems they face
Leverage AI coding tools (e.g., GitHub Copilot, Claude Code, Cline, OpenAI Codex) to accelerate development
Apply data science and GenAI techniques to analyze transaction data and deliver actionable client insights
Build agentic AI systems with multi-step reasoning, tool use, and memory for complex payment decisioning workflows
Work with your data science colleagues as well as other teams across Visa to guide the critical thinking for our clients by using the data and tools available to you
Connect with clients as well as client teams regarding the results and strategic recommendations advised by your analyses
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 clients
Work with partners throughout the organization to explore opportunities for using Visa data to drive business solutions