The ideal candidates are problem solvers, equipped with strong analytical & quantitative skills suited to address key strategic needs for Visa’s clients including issuers, acquirers and merchants.
Adept at creative and critical thinking, they are able to deconstruct problems and transform insights into large scale, state-
of-the-art solutions. Candidates must be quick learners with a strong sense of personal responsibility.
Work with large volumes of data; extract and manipulate large datasets using standard tools such as Hadoop Ecosystem, SAS, through scripting in Python, SQL, etc.
Hands-on skills in cleaning, manipulating, analyzing, modeling and visualizing large data sets.
Develop and validate advance data mining tools, algorithms, and other capabilities to solve business problem.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Transform data / analysis to a business language
Continuously develop and present innovative ideas based on data driven approach in order to improve current business practices within Visa
Communicate and present key insights and data to key stakeholders across the organization
MS in engineering, computer science, statistics, or other related fields with 5+ years of experience required.
Excellent quantitative & analytical skills, including, database marketing and portfolio management, plus knowledge of analytical methodologies for optimizing and evaluating analytic solutions.
Experience Data Mining or Statistics (SAS, SAS E. Miner, SAS E. Guide), plus working knowledge of SQL, UNIX, R / Python, and Mainframe is preferred.
Ability to manage multiple projects efficiently and able to meet deadlines
Experience designing and building new tools. Ability to re-use existing experience to develop new production-ready solutions.
Quick-thinker, fast learner, wide general knowledge, problem solver
Team worker, responsible, delivery-oriented
Excellent spoken and written English and Spanish
All your information will be kept confidential according to EEO guidelines.
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