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Data Scientist (Visa Predictive Models) - job 9 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

As a Data Scientist at Visa in Washington, you'll dive into one of the world’s largest consumer payment transaction datasets, analyzing over 250 billion transactions a year! The Visa Predictive Modeling (VPM) team is at the forefront of innovative solutions, developing predictive machine learning models that support Visa Risk and Identity Solutions. In this role, your expertise in machine learning and artificial intelligence will play a crucial part in aiding clients with fraud defense, identity verification, and smart marketing initiatives. You’ll be a part of the Acceptance Risk Model Team, where your main focus will be on creating real-time fraud detection models using advanced techniques and tools like Deep Neural Networks and LSTMs. Collaborating with cross-functional teams—including Product Managers and Data Engineers—you'll not only design and validate predictive models but also interpret results for a non-technical audience, enhancing the overall Visa Card customer experience. Your role will also involve researching and implementing the latest modeling tools, improving efficiencies through MLOps automation, and managing model risks in alignment with Visa's standards. This is a hybrid position, balancing remote work with in-office collaboration 2-3 days a week, allowing you the flexibility to engage with your colleagues while pushing the boundaries of what data can achieve in optimizing financial lives worldwide.

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 at Visa, your primary responsibilities will include developing and validating predictive models using advanced machine learning techniques, interpreting modeling results for non-technical audiences, conducting research on emerging modeling technologies, and improving the modeling process through MLOps and automation. You will also collaborate with cross-functional teams to deploy models in production and manage model risks.