We are currently seeking a senior data scientist to drive analytical projects and insights for Visa Predictive Modeling team based at Visa's office in Atlanta, GA.
The predictive modeling team within Visa Value-Added Services is responsible for building and maintaining major consumer behavior models to solve business problem for clients and issuers. The team closely collaborates with other analytic stakeholders to understand the business problem in order to determine the most appropriate analytic approach that provides meaningful results to customers. Responsibilities include delivering projects on time and within scope with an in-depth knowledge of big data and cutting-edge data mining techniques as well as the use of predictive, classification, machine learning and alternate analytic algorithms for modeling and segmentation.Essential FunctionsValidate newly developed risk models, generate performance analysis at both aggregate and issuer levels, and interpret and present results to non-technical audiences.Prepare new model testing packages for production deployment, and support model installations and calibration.Drive analytic product development by conducting statistical analyses on various data sources and enhance products through innovative applications of the analysis.Define financial and analytic metrics to measure development and production outcomes and roduce performance reports.Identify opportunities to automate repeatable analyses or build self-service tools for business users.Support sales and marketing efforts with robust statistical and financial analysis, perform ad-hoc analyses to respond to fast-changing market demands.Analyze transaction data using Hadoop/Cloud and big data technologies for internal and external product owners and develop deeper insights into products using advanced statistical methods.Develop and derive transaction attributes to enhance analytic products.Ensure project delivery within timelines and meet critical business needs.Collaborate with cross-functional teams and engage with internal and external stakeholders.Advocate for big data innovations and promote analytic education throughout the organization. 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 2-3 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.