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Data Scientist (Visa Predictive Models) - job 11 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

$125000 / YEARLY (est.)

min

max

$100000K

$150000K

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

Are you ready to dive into the exciting world of data? Join Visa as a Data Scientist, focusing on Predictive Models, and be part of a team that harnesses the largest consumer payment transaction dataset globally! Based in Washington, you'll leverage over 250 billion transactions each year to help clients in the payment ecosystem enhance their businesses. At Visa, the Predictive Modeling (VPM) team is on the cutting edge of developing and maintaining machine learning models primarily aimed at bolstering Visa's Risk and Identity Solutions. In this role, you'll get to build and validate predictive models using advanced techniques and tools that drive significant business value. Your innovative research with emerging technologies like Deep Neural Networks and LSTM will play a critical role in addressing new fraud detection challenges. Collaboration is key! You’ll partner with Product Managers, Data Engineers, and Software Engineers to seamlessly deploy models into production, all while ensuring management of model risks according to Visa's standards. This hybrid position offers flexibility, requiring you to work in the office 2-3 days a week, but allows ample opportunity for remote work. If you’re passionate about using your data skills to create a safe and rewarding payment experience for consumers while fueling business growth, Visa is the place for you!

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

What are the main responsibilities of a Data Scientist at Visa focusing on Predictive Models?

As a Data Scientist at Visa, particularly in the Predictive Models area, your primary responsibilities will include building and validating predictive models with advanced machine learning techniques, conducting research on cutting-edge modeling technologies, and interpreting results for non-technical stakeholders. You'll also play an essential role in improving modeling processes through automation and overseeing model deployment with a cross-functional team, ensuring model risks are managed effectively.