Sr. Data Scientist - Global Economics

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.

• Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients

• Brainstorm innovative ways to use our unique data to answer business problems

• Connect with clients to understand the challenges they face and convince them with data

• 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

• Find opportunities to craft products out of analyses that are suitable for multiple clients

• Work with partners throughout the organization to find opportunities demonstrating Visa data to drive business solutions

• 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

• Partner with a variety of Visa teams to provide comprehensive solutions

• Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners

• Provide mentorship in modern analytic techniques and business applications to unlock the value of Visa’s unique data set, in keeping with market trends, client needs and emerging techniques

• Prioritize and lead multiple data science projects with diverse multi-functional partners

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

Basic Qualifications

• 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications

• 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• 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
• 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.
• 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
• Communicating evidence based insights and conveying relevant recommendations
• Leading and coordinating work in Office software
• 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.)
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required
• Running projects from scoping to delivery, and engaging with internal/external partners

Work Hours: Varies upon the needs of the department.

Travel…