As part of Cyber Threat Analytics and Research team (CTAR), you will leverage cutting-edge technologies to perform statistical profiling, inference, classification, clustering and predictive analysis. As a key member of the technical team, you will create and implement sophisticated machine learning models to help derive new insights to defend against cyber-attacks. You will be working with a large variety of data sets, cutting-edge security technologies, and world-class operation teams to create awesome analytics for security and other business units.

Your responsibilities include:

• Analyze cyber 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 cyber investigation efficiency.
• As a member of the CTAR team, you will work closely with other data scientists and data engineers to build, design, engineer, and develop analytical software and services that deliver security functionality and improve security efficiency and capabilities through automation.  
• Assist in shaping overall direction, life-cycle management, and leadership for Information Security architecture and technology related to Visa. 
• 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.

Basic Qualifications:
Bachelor's degree, OR 3+ years of relevant work experience

Preferred 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/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.

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 101,200.00 to 157,100.00 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.