Company Description

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.

Job Description

Team Summary

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our business partners such as financial institutions, merchants, fintechs, government agencies and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set and leveraging data experts’ knowledge.

What a Sr. Data Scientist does at Visa

• Contribute to the Korea and Mongolia Data Science team as a Data Scientist.
• Lead and execute Data Science and A.I. projects to address business challenges in areas such as digital, marketing, and risk, in collaboration with internal and external partners.
• Develop and implement data solutions, including predictive and prescriptive models, to enhance customer experiences, drive revenue, generate insights, and manage risks.
• Proactively explore opportunities for innovation by leveraging VisaNet, external data sources, and advanced modeling techniques tailored to client needs.
• Define project scope and methodology, design and develop solutions, and implement them using suitable tools and techniques.
• Identify opportunities for data solutions or product development for various clients, collaborating with external parties as required.
• Work closely with stakeholders to utilize VisaNet data and data science methodologies to support Visa’s core business growth.

Why this is important to Visa

As payments consulting arm of Visa, Data Science team is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We are building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help both internal and external business partners grow their business and solve problems by providing advisory services through the use of data.

Projects you will be a part of:

• Data / Data Science Advisory
• VisaNet Data Analytic (Benchmarking / Market Landscape Analysis)
• M/L or Deep Learning Model Development
• Data Commercialization Engagement
• Data Partnership and Convergence (3rd party data blending)
• Data and A.I. Governance
• Data / A.I. Platform Development / Enhancement
• Thought Leadership in Data Science (ex. A.I. Fairness, Sustainability Application)

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

Qualifications

• 6+ years of relevant work experience with a Bachelors Degree or 4+ years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 2+ years of work experience with a PhD
• Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, Industrial Engineering, or a related technical field
• Deepen understanding the fundamentals of advanced M/L or D/L algorithms and Generative A.I.
• Hands-on experience with one or more data analytics, programming tools (e.g. Python, R, Spark), big data tools (e.g. Hive, Hadoop) and query languages (e.g. SQL)
• Generating and visualizing data-based insights in software such as Tableau
• Communicating data-driven insights and conveying actionable recommendations
• Building predictive and descriptive models using machine learning tool kit, Jupyter notebooks, Python, PyTorch, TensorFlow, Spark and Langchain etc.
• Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
• Managing analytics/data science projects from scoping to delivery, and engaging with internal/external stakeholders.

Additional Information

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.