Senior Data Scientist

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

2 years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD), * 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 required