Senior Data Engineer- AI & ML

Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring Data Scientists who are equally passionate about the opportunity to use Visa s rich data to solve meaningful business problems.

 

Essential Functions

Basic Qualifications
8 years of work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master s, MBA, JD, MD) or 0 years of work experience with a PhD degree

Preferred Qualifications
6-8 years of work experience with a Bachelor s Degree or 4-6 years of work experience with an Advanced Degree (e.g. Master s, MBA, JD, MD) or 3 years of 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
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
Advanced knowledge and experience of AI/ML model development and implementation
Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
Track record of creating robust and scalable AI/ML/Data Science solutions and products