As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

YOU'RE an Individual. WE'RE the team for you. TOGETHER, let's transform the way the world pays.

The fraud and risk management team within CyberSource is responsible for designing and building machine learning models for detecting, preventing and managing fraud in e-commerce payment events. The team collaborates closely with Visa colleagues and other internal stakeholders to provide the advanced and multilayered fraud and risk management solutions to enterprise as well as small-to-midsized businesses.

We are currently seeking a Data Scientist intern to support fraud risk modeling projects and drive insights for CyberSource. Ideal candidates for this position will have a working background of statistics and machine learning techniques and tools. In addition, the candidate should have a proactive mindset for innovative researches and a highly collaborative approach to project work.

The internship will be based at Visa's office in Foster City, California. You will work collaboratively with a team composed of both data scientists and engineers to:

• Build and validate risk models with advanced machine learning techniques
• Interpret and present modeling and analytical results to all level audience
• Conduct transaction data analyses for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
• Execute ad-hoc analyses to meet the fast-changing market demands
• Drive analytic product development via conducting statistical analyses on various data sources; and add values to products by innovatively applying the analysis
• Enhance existing solutions and approaches by promoting new methodology and best practices in data science field
• Collaborate with internal and external stakeholders and cross-functional teams
• Develop and present a project based on the work done during the internship

WORK AUTHORIZATION

• Permanent Authorization to work in the U.S. is a precondition of employment for this position. Visa will not sponsor applicants for work visas in connection with this position. Future sponsorship will not be considered.

WORK HOURS:

• This position requires the incumbent to be available during core business hours.

TRAVEL REQUIREMENTS:

• This position requires the incumbent to travel for work less than 0% of the time.

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, and reach with hands and arms.

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.

BASIC QUALIFICATIONS:

• Currently enrolledin an Advanced Degree Program (e.g. Masters) Must be Graduating on or afterDecember 2022
• Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment.

PREFERRED QUALIFICATIONS:

• 2 years of work experience with an Advanced Degree (e.g. Masters)
• Working experience in data science and analytical functions
• Ability to analyze large datasets, extract information, features, anomalies, etc.
• Ability to understand customer/client behavior, apply modeling and machine learning to business problems
• Ability to communicate model outputs, performance internally and externally
• Self-starter, curious, team player in dynamic environments.

At Visa we are Powering Payments, and Uplifting People!

As the world leader in digital payments, we facilitate more than 215 billion payments transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive.

Make an impact with a purpose-driven industry leader. Join us today and experience #LifeAtVisa

Learn more at Visa.com