Data Science Manager

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.

Pay Transparency

Job Description

What it's all about:

Qualifications

What we'd like from you:

• Advanced analytics and AI experience applying a range of techniques (e.g., predictive modeling, machine learning, experimentation, agentic AI systems) to solve real business problems and drive measurable outcomes.
• Strong hands-on capability in data preparation and feature engineering, including cleaning, transforming, and validating large, complex datasets.
• Programming skills in Python and SQL, including production-grade data manipulation and ML workflows (e.g., pandas, scikit-learn or equivalent libraries), and the ability to work efficiently with large datasets.
• Experience designing and implementing agentic AI workflows, including multi-step reasoning pipelines, tool-augmented agents, and orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or equivalent), with the ability to evaluate agent reliability and manage failure modes in production.
• Familiarity with large language model (LLM) integration patterns, including prompt engineering, retrieval-augmented generation (RAG), function/tool calling, and memory management within agentic architectures.
• Proven ability to translate business needs into end-to-end analytical/AI solutions, from problem framing and methodology design to insight delivery and stakeholder adoption — including solutions that leverage autonomous or semi-autonomous AI agents.
• Ability to communicate complex technical concepts clearly and credibly to non-technical stakeholders, influencing decisions through storytelling, visualization, and structured recommendations.

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 protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa welcome and encourages application from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.