Data Scientist @ Visa

Job Information

Job Description:

Essential Functions

  • 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
  • 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
  • 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

Qualifications

Basic Qualifications

  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications

  • 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
  • 2+ years’ experience in data-based decision-making or quantitative analysis
  • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Competence in Excel, PowerPoint and Tableau
  • Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Benefits:
Experience Level: Mid-Senior
Work From: Hybrid

Company Information

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