Loading...
Data Scientist
Visa
HybridmidPosted May 5, 2026
About the Role
Develop and implement sophisticated machine learning and deep learning models for fraud detection, analyze transaction data, and maintain/optimize analytical models in production.
Requirements
Requires 2+ years experience (or less with advanced degree) in data science, strong background in ML/DL/AI models, GenAI/LLM experience, proficiency in Python/SQL, and experience with large datasets using big data tools.
Full Job Description
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.
Job Description
As part of Visa Predictive Fraud Intelligence team (PFI), you will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the data science team, you will create and implement sophisticated machine learning models to help derive new insights to defend against fraud attempts. You will be working with a large variety of data sets, cutting-edge analytical technologies, and world-class operation teams to create awesome analytics for security and other business units.
Your responsibilities include:
- Analyze transaction event logs using Spark and big data technologies and develop deeper insights into products using advanced statistical methods.
- Devise and implement deep learning models for building user behavior profiles. This includes data acquisition, feature engineering, model development, and deployment.
- Support and optimize other existing analytical models/products.
- Maintain the backend operations pipeline, including the job scheduler and data processes.
- Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
- Use GenAI to create an agentic framework that enhances fraud detection efficiency.
- As a member of the PFI team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical services that deliver fraud detection abilities and improve the efficiency and capabilities through automation.
- Communicate clean and persuasive data directly to end users, leadership, and other stakeholders, technical and non-technical.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications
Basic Qualifications:Bachelor's degree, OR 3+ years of relevant work experiencePreferred Qualifications:2 years of work experience.Less than 1 years relevant work experience with either bachelor’s or master’s degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required.Solid background and hands on experiences with building Machine learning, deep learning and AI models.Experience with Generative AI/LLMExcellent understanding of algorithms and data structures and proficiency in Python and SQL.Experience working with large datasets using tools and Hadoop, Spark, or Hive.Excellent analytic and problem-solving capability combined with ambition to solve hard problems.Strong communications skills and ability to collaborate.Highly driven, resourceful and results oriented.Good team player and excellent interpersonal skills.Demonstrated ability to lead and navigate through ambiguity.U.S. Applicants Only
The estimated salary range for this position is $123,700.00 to $ 191,300.00 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.
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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.