Data Scientist

Join Visa as a Data Scientist

Visa is seeking a talented Data Scientist to join our Global Data Science group. This team supports our bank and merchant partners by leveraging Visa’s extensive data sets, which include over 4 billion cards globally and capture more than 190 billion transactions annually. As a Data Scientist, you will have the opportunity to work on creative solutions that have an immediate impact on our partners' businesses.

Key Responsibilities

• Innovative Thinking: Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to solve business problems.
• Client Communication: Communicate with clients to understand their challenges and convince them with data-driven insights.
• Data Analysis: Extract and understand data to form opinions on how to best assist our clients and derive relevant insights.
• Data Visualization: Develop visualizations to make complex analyses accessible to a broad audience.
• Product Development: Identify opportunities to craft products from analyses that are suitable for multiple clients.
• Stakeholder Collaboration: Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
• Data Mining and Analysis: Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques, and business strategies.
• Model Development: Develop custom data models and algorithms to apply to data sets, using predictive modeling to enhance customer experiences, revenue generation, and other business outcomes.
• Performance Monitoring: Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications

Basic Qualifications

• 2 years of work experience with a bachelor's degree or an advanced degree (e.g., Masters, MBA, JD, MD, or PhD).

Preferred Qualifications

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree.
• Experience in data-based decision-making or quantitative analysis.
• Bachelor’s degree in an analytical field such as statistics, operations research, economics, or computer science (graduate degree is a plus).
• Experience with extracting and aggregating data from large data sets using SQL or other tools.
• Competence in Excel, PowerPoint, and Tableau.
• Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata).
• Previous exposure to financial services, credit cards, or merchant analytics is a plus.

Additional Information

• Work Hours: Varies upon the needs of the department.
• Travel Requirements: This position requires travel 5-10% of the time.
• Work Environment: 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, and 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.

Workplace Type

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week, with a general guidepost of being in the office 50% or more of the time based on business needs.

Join us at Visa and make an impact with a purpose-driven industry leader. Apply today and experience Life at Visa.