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Data Scientist (Visa Predictive Models) - job 21 of 33

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Visa has the world’s largest consumer payment transaction dataset. We see data on over 250 billion transactions every year from all over the world. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast, safe, and rewarding payment experience. Visa Predictive Modeling (VPM) team develops and maintains predictive machine learning models to primarily support Visa Risk and Identity Solutions. Using VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, smart marketing, etc. Through our models and services, VPM fuels the growth of Visa clients, generates, and diversifies revenues for VISA, while improving Visa Card customer experience and their financial lives.

Within VPM, the Acceptance Risk Model Team is responsible for developing real-time fraud detection models serving merchants. We leverage a set of rich data available at merchant check-out including transactional, digital and identity information to detect and stop fraud.

This is a Technical (Individual Contributor) role. Your responsibilities include:

Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting, and presenting modeling and analytical results to non-technical audience.
Conducting research using latest and emerging modeling technologies and tools (e.g., Deep Neural Networks, RNN, LSTM, etc.) to solve new fraud detection business problems.
Improving the modeling process through MLOps and automation to drive efficiency and effectiveness.
Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production.
Managing model risks in line with Visa Model Risk Management requirements.
Conducting modeling analysis to address internal and external clients’ questions and requests.

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.

Average salary estimate

$115000 / YEARLY (est.)

min

max

$100000K

$130000K

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What You Should Know About Data Scientist (Visa Predictive Models), Visa

Join Visa as a Data Scientist specializing in Predictive Models in Washington, where you'll leverage the world's largest consumer payment transaction dataset—over 250 billion transactions yearly! As part of the Visa Predictive Modeling (VPM) team, you'll create and maintain predictive machine learning models that support Visa Risk and Identity Solutions. Your work will help clients in the payment ecosystem improve their businesses while ensuring consumers enjoy a fast, safe, and rewarding payment experience. In this technical role, you'll build and validate advanced models, interpret data for non-technical audiences, and innovate with emerging technologies such as Deep Neural Networks and RNNs to tackle fraud detection challenges. Collaborating with Product Managers, Data Engineers, and Software Engineers, you'll seamlessly deploy your models into production and manage model risks responsibly. This exciting hybrid position allows for flexibility, with office visits expected 2-3 times a week. This is more than just a job; it's a chance to make a substantial impact in the financial lives of millions while working with cutting-edge technology in a vibrant team environment. If you're passionate about data science and eager to contribute to the future of payment solutions, Visa is the place for you!

Frequently Asked Questions (FAQs) for Data Scientist (Visa Predictive Models) Role at Visa

What are the essential responsibilities of a Data Scientist at Visa?

As a Data Scientist in Visa's Predictive Models team, your main responsibilities include building and validating predictive models using advanced machine learning techniques, conducting research with emerging modeling technologies, and improving the modeling processes through automation. You'll also present your findings to non-technical audiences, partner with cross-functional teams to deploy models, and manage model risks in alignment with Visa's requirements.