Junior AI/ML Data Scientist - job 2 of 3

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

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

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce.   We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people.   While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.    

The Opportunity: 

We are looking to hire an Associate Data Scientist to join the Cyber Analytics & AI Innovations team in Visa. You as a Data Scientist will be responsible for designing, building, and supporting cutting edge AI innovations in cybersecurity. You should be an engineer at heart, possessing software engineering skills, allowing to lead teams that build some of the most critical and marquee products in the entire company. You will build enterprise-level AI solutions with AI autonomous agents, deep neural networks, large language models, GPUs, and big data platforms.

The Work itself: 

• Design code and systems that influence Visa’s internal standards for scalability, security, and reusability.

• Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for Visa’s technical offerings.

• Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads.

• Develop robust and scalable products intended for internal stakeholders.

• Leverage innovative technologies to build the next generation of cybersecurity solutions.

• Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities.

Essential Functions:

• Demonstrates relevant technical working knowledge to understand requirements.

• Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance.

• Applies standard processes on the use of programming languages and frameworks (e.g., Python, Flask / FastAPI, SQL, Go, RAG Pipeline, LLMs,) to write code that fulfills modification requests and technical requirements.

• Collaborates with others to support the piloting of new technology capabilities and features.

• Research innovation in applying AI to the more general field of cybersecurity, including the protection with and against AI driven technologies, as well as the AI models themselves.

• You will be using your core competencies around AI and data science and help drive the teams to build models and solutions that work at scale, harnessing Petabytes of data while applying it to products that need to respond with cyber analytics in milliseconds.

The Skills You Bring:

• Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects.

• Challenge the Status Quo: Comfort in pushing the boundaries, “hacking” beyond traditional solutions.

• Language Expertise: Expertise in two or more general development languages (e.g., Python, SQL, Go, Bash).

• Working experience with AI landscape: Generative AI, LLM, RAG Pipeline, AI Agents, Copilot.

• Builder: Experience building and deploying modern services and applications with quality and scalability based on Linux infrastructure.

• Learner: Constant drive to learn new technologies such as Generative AI, Nvidia infrastructure and servers, Go, Podman / Docker, etc.

• Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams.

**We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn’t work with payments technology or web applications before joining Visa 

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Preferred Qualifications:
•Bachelor's degree, OR 3+ years of relevant work experience
•Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum 1 year of experience in a directly related field, OR Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field.
•Software Engineering experience: proficiency in Python 
oCandidate must possess software engineering skills and be able to take end-to-end ownerships of analytical models.
•Knowledge and working experience on Git, Jenkins and Jira.
•Experience in developing and deploying products using Docker, and the containerization technology stack.
•Working experience with AI landscape: Generative AI, LLM models (hosted and in cloud), RAG Pipeline, AI Agents, Copilot.
•Experience in development of advanced machine learning and deep learning models such as RNN, LSTM, Graph Neural Networks.
•Domain Knowledge - Candidate with background in one or multiple of the following domains is a plus: Cybersecurity, AI security/privacy research and Biometrics.

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.