Data Scientist, VPM Fraud Modeling - New College Grad 2025

Job Description

Are you skilled at turning hard numbers into compelling stories and useful strategic insights? Do you solve complex data challenges with creative flair? Put those skills to work answering strategic questions for one of the world's most respected and innovative payments companies.

In this role, you will be responsible for a range of duties from data analytics, implementing and delivering advanced machine learning models, and visualization of solutions and high impact business projects. You will get chance to leverage your business acumen, programming skills, technical knowledge of big data and machine learning techniques. This function is critical in building market-relevant fraud solutions for our clients and intellectual property for Visa.

Essential Functions:

Build and validate predictive models with advanced machine learning techniques and tools to drive business value, interpret and present modeling and analytical results to non-technical audience

Write predictive model software packages for production deployment, support model installations, monitor, and calibrate production models

Conduct statistical analyses on various internal and external data sources with big data tools like Hadoop and Spark to identify interesting and valuable insights and trends, produce visualization and reports to internal business and product customers

Develop insights from data into products using advanced statistical and machine learning methods

Find opportunities to create and automate repeatable analyses or build self-service tools for business users

Support sales and marketing efforts with sound statistical and financial analysis, execute ad-hoc analyses to meet the fast-changing market demands

Develop business requirements and appropriate statistical analysis/prototypes to meet critical business needs

Derive and develop new data attributes/features for modeling to grow analytic products

Work on cross functional teams and collaborate with internal and external stakeholders