Data Scientist - Senior Consultant Level

Overview

Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works.

Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work.

You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers.

If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you.

Essential Functions

• Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases.
• Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate.
• Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability.
• Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results.
• Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data.
• Follow and strengthen data-management and governance practices that support high-quality, dependable products.
• Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators.
• Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform.
• Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements.
• Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Basic Qualifications

• 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications

• 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD.
• PhD degree in computer science or relevant area.
• Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
• Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce.

Pay and benefits

For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.