Data Scientist

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 that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year.

What a Data Scientist does at Visa:

• As a Data Scientist, contribute to the Korea and Mongolia Data Science team, and be part of Visa’s Global Data Science community.
• Execute Data Science / A.I. projects to solve business problems across various domains (e.g. digital, marketing, risk etc.), working with both internal and external partners
• Develop models for optimizing customer experiences, generating revenue, creating data insights and managing risk
• Engage in innovative Data Science and A.I. practices to enhance analytic capabilities
• Provide technical expertise and generate actionable insights from big data and communicate the findings to internal/external stakeholders
• Define and execute detailed analytic plan with appropriate data mining and analytic techniques
• Ensure project delivery within timelines and budget requirements
• Identify opportunities and develop data solutions or products for multiple clients
• Collaborate with stakeholders across the team to leverage VisaNet data and data science approaches to drive 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 and Modeling
• VisaNet Data Analytic (Benchmarking / Market Landscape Analysis)
• Risk Management (ABC Credit Scoring / Fraud Detection Model Development)
• Data Convergence (3rd party data blending)
• Data and A.I.Governance
• Data / A.I. Platform Development / Enhancement

Qualifications

What you will need:

• 4+ years of relevant work experience with a Bachelors Degree or 2+ years of work experience with an Advanced degree

• Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, Business Analytics, Industrial Engineering, or a related technical field
• 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)
• Proficiency in building predictive and descriptive models using machine learning tool kit such as scikit-learn, PyTorch, TensorFlow etc.
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
• Generating and visualizing data-based insights in software such as Tableau
• Communicating data-driven insights and conveying actionable recommendations
• Managing and organizing work in Office software such as Word, Excel, PowerPoint

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.