Work with a team to conduct world-class research on data analytics and contribute to the long-term research agenda in large-scale data analytics and machine learning, as well as deliver innovative technologies and insights to Visa’s strategic products and business.
Develop AI/Machine learning models to detect credit card information attacks.
Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
Work with product engineering to ensure implementability of solutions.
Deliver prototypes and production code based on need.
Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems.
Build needed data transformations on structured and un-structured data. Build and experiment with modeling and scoring algorithms.
Develop custom algorithms and use packaged tools based on machine learning, data mining and statistical techniques.
Devise and implement methods for adaptive learning with controls on effectiveness, methods for explaining model decisions where necessary, model validation, and A/B testing of models.
Devise and implement methods for efficiently monitoring model effectiveness and performance in production.
Devise and implement methods for automation of all parts of the predictive pipeline to minimize labor in development and production.
Contribute to development and adoption of shared predictive analytics infrastructure.
Position reports to the Austin, TX office and may allow for partial telecommuting
Requirements & Skills:
Employer will accept a Ph.D. degree in Computer Science, Machine Learning, Statistics, Engineering, or related field.
