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Data Scientist (Visa Predictive Models) - job 22 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

$110000 / YEARLY (est.)

min

max

$90000K

$130000K

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

The Data Scientist (Visa Predictive Models) position at Visa in Washington is an incredibly exciting opportunity for professionals looking to make an impact in the payment ecosystem. You will be engaging with Visa's massive consumer payment transaction dataset, which encompasses more than 250 billion transactions each year, helping our clients enhance their business strategies while ensuring a safe and rewarding payment experience for consumers. In the Visa Predictive Modeling (VPM) team, you’ll develop cutting-edge predictive machine learning models that support Visa Risk and Identity Solutions, tackling vital issues like fraud detection and identity verification. As part of the Acceptance Risk Model Team, you will leverage rich data from various sources at merchant check-out to build and validate models employing advanced techniques such as Deep Neural Networks and LSTM. Collaborating with a diverse group of product managers, data engineers, and software engineers, you’ll ensure the seamless integration of model innovations into production while adhering to Visa's Model Risk Management standards. The hybrid work setup allows flexibility, with the expectation of being in the office 2-3 days a week, fostering both remote and in-person collaboration. If you are passionate about machine learning and its applications, join us at Visa and be part of a team that empowers clients and enhances the financial lives of millions around the globe!

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

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

As a Data Scientist (Visa Predictive Models) at Visa, your primary responsibilities include building and validating predictive models using advanced machine learning techniques, interpreting and presenting analytical results to non-technical audiences, and conducting research with the latest modeling technologies. You'll also improve modeling processes through MLOps, collaborate with cross-functional teams, and manage model risks effectively in line with Visa's standards.