Associate Data Scientist - Cybersecurity, Intern

Company Description

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.

Job Description

Visa Cybersecurity

Visa's Cybersecurity team provides enterprise-wide, risk-based cybersecurity policies, practices, and solutions to protect Visa’s systems and data from internal and external threats. To protect Visa’s assets in this dynamic threat landscape, they are deploying new cyber-security tools, collaborating across industries, and taking a proactive approach to monitoring the cyberspace beyond the Visa network.

Imagine working for one of the pioneers in the payment technology space. The kind of company that's been setting the bar for the way people pay and get paid for more than 50 years, and continues to innovate on a global scale. Now imagine that company is less than 10,000 employees worldwide, small enough that you'll actually have an impact and do some amazing things. Sounds pretty awesome. Well, that company exists and it's Visa.

About Us

As part of Cyber Threat Analytics and Research team (CTAR), an intern 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.

Some job duties and projects could include:

• 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.  
• Utilize information retrieval, data analytics, and statistical modeling techniques to build new machine learning models and apply it to cybersecurity use cases. This will include the entire lifecycle including data acquisition, feature engineering, model development, training, testing, deployment, operationalization, and tuning.
• Support and optimize other existing analytical models/products.
• 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.

Qualifications

Basic Qualifications: 

• Students pursuing a Bachelor's Degree with a graduation date December 2024 or later
• Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications that demonstrate professional judgment. 

Preferred Qualifications:

• Proficiency in Python.
• Basic understanding of SQL, JavaScript, XML, JSON, and HTML
• Basic understanding of Statistical principles.
• Familiarity with database applications (Access, Oracle, SQL, or equivalent technology)
• 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. 
• The ability to take on challenges and address problems head-on 
• Strong ability to collaborate 
• Highly drive