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

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas l…