Visa is looking to unlock the value available through the innovative use of data on behalf of consumers, businesses, and communities to drive future growth prospects. The Global AI & Data Science team is focusing on creating, enriching, and validating data sets using AI and ML models to serve as ground truth for various uses within Visa.
Requirements
- Extracting and aggregating data from large data sets using SQL/Hive or Spark
- Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
- Generating and visualizing data-based insights in software such as Tableau
- Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
- Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
- 4+ years’ experience in data-based decision-making or quantitative analysis
- Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
Responsibilities
- Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
- Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
- Develop visualizations to make your sophisticated analyses accessible to a broad audience
- Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
- Assess the efficiency and accuracy of new data sources and data gathering techniques
- Develop custom data models and algorithms to apply to data sets
- Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
Other
- This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
- Good knowledge in microeconomics and macroeconomics, awareness of current economic issues and global trends, and understanding of business needs of financial institutions, merchants, and fintech companies.
- Communicating evidence based insights and conveying relevant recommendations
- Leading and coordinating work in Office software
- Running projects from scoping to delivery, and engaging with internal/external partners
