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You will be updated with latest job alerts via emailVisa 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 Visas rich data to solve meaningful business problems.
Essential Functions
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications
8 years of 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 degree
Preferred Qualifications
68 years of work experience with a Bachelors Degree or 46 years of work experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 years of experience with a PhD
4 years experience in databased decisionmaking or quantitative analysis
Masters 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 databased 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
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.
Remote Work :
No
Employment Type :
Fulltime
Full-time