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Data Scientist, Predictive Fraud Intelligence
Visa
H1B ✓Hybridentry levelPosted March 27, 2026
About the Role
The role involves leveraging cutting-edge technologies to perform statistical profiling, inference, classification, clustering, and predictive analysis, creating and implementing sophisticated machine learning models to derive new insights for fraud defense. Responsibilities include analyzing transaction logs with Spark, devising deep learning models for user behavior profiles, and using GenAI to enhance fraud detection efficiency.
Requirements
Candidates need a Bachelor's degree with 1-2 years of relevant experience, or 2 years of experience with a relevant degree in a quantitative discipline. Required technical expertise includes solid experience building Machine Learning, Deep Learning, and AI models, proficiency in Python and SQL, and experience with large datasets using tools like Spark or Hadoop.
Full Job Description
Company 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.
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, with 1-2 years of relevant work experience
Preferred Qualifications:
2 years of work experience.
1-2 years of 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/LLM Excellent 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.
Additional Information
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 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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 116,800.00 to 180,600.00 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.
Job Family Group: Data Science and Analytics
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, with 1-2 years of relevant work experience
Preferred Qualifications:
2 years of work experience.
1-2 years of 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/LLM Excellent 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.
Additional Information
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 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 will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 116,800.00 to 180,600.00 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.
Job Family Group: Data Science and Analytics