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Data Scientist, Predictive Fraud Intelligence

5 days ago Atlanta, GA

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.

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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.

Client-provided location(s): Atlanta, GA
Job ID: 283bdfbb-863f-4e65-81f8-af0ba1c75e48
Employment Type: OTHER
Posted: 2026-04-09T19:12:04

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)