Senior Data Scientist

Description

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 Sr. Data Scientist is responsible for designing and deploying AI-powered tools and agent systems that combine LLMs and custom ML models into end-to-end solutions that support business decision-making. Beyond model development, the role involves managing recurring data processes, building predictive and forecasting models, and contributing to data infrastructure modernization.

The position requires collaborating with cross-functional teams, translating model outputs into actionable recommendations, and communicating complex concepts to diverse audiences.

Responsibilities

• Agentic Development: Design AI agent systems that automate analytical workflows, including data retrieval, impact analysis, and proactive recommendation generation.
• Multi-Model Architecture: Decide how to combine LLMs, traditional ML models, and rule-based logic into reliable, end-to-end agent workflows, and build the orchestration layer that ties them together.
• Prototyping to Production: Take agent prototypes from proof-of-concept through iteration to production-grade systems with proper documentation, testing, CI/CD, and deployment ownership.
• Predictive Modeling & Forecasting: Build and maintain forecasting models and other predictive tools that feed into agent systems or support business decisions directly.
• Data ETL: Monitor and maintain recurring data processes, ensuring pipelines run on time and data quality stays high.
• Data Infrastructure: Contribute to modernizing the data stack by migrating pipelines, expanding data coverage, and supporting cloud migration efforts.
• Collaboration & Communication: Work with teammates across regions, product, and engineering, translating model and agent outputs into clear recommendations for senior business stakeholders.
• Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Requirements

• Basic Qualifications:
• 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g., Masters, MBA, JD, MD) or 0 years of work experience with a PhD.
• Experience building and deploying machine learning models to production, focusing on modular, scalable, and maintainable models.
• Hands-on experience with LLMs or generative AI, with demonstrated interest or experience in building agentic or multi-model systems.
• Comfortable building data pipelines and working with large-scale data using tools like Spark, Airflow, SQL, or Python.
• Experience managing data science or ML projects from scoping through delivery.
• Able to communicate technical work clearly to non-technical audiences.
• Preferred Qualifications:
• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g., Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
• Experience building AI agents or multi-model orchestration systems using SDKs/frameworks such as LangChain, Claude Agent SDK, OpenAI Agents SDK, or similar.
• Experience with predictive modeling and time-series forecasting.
• Experience with productionalizing agentic applications.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Exposure to financial services or the payments industry is a plus.
• Experience working across geographies and time zones in a global organization.
• Visa is an EEO Employer
• 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.