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Data Scientist (Visa Predictive Models) - job 18 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

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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

As a Data Scientist at Visa, specifically within the Visa Predictive Models team, you'll find yourself at the forefront of the payment ecosystem, working with an astonishing amount of data from over 250 billion transactions yearly. This role is perfect for data enthusiasts who thrive on innovation and want to apply machine learning to real-world challenges. You'll be building advanced predictive models that not only identify and prevent fraud but also enhance the customer experience for Visa cardholders. Every day, you'll collaborate with a talented cross-functional team, including Product Managers and Data Engineers, to deploy your models into production. In doing so, you'll ensure they are effective, accurate, and in line with Visa's Model Risk Management requirements. The scope of your work will include using cutting-edge techniques like Deep Neural Networks and LSTMs to tackle complex fraud detection problems. And don't worry if you're not entirely sure about everything—Visa values creativity and encourages exploration and experimentation. Plus, this hybrid position offers a flexible work environment, allowing you to seamlessly balance your time between the office and remote work. If you're ready to make a significant impact in the world of data and payments, this Data Scientist role at Visa is your opportunity to shine!

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

What are the primary responsibilities of a Data Scientist at Visa in predictive modeling?

As a Data Scientist at Visa, your main responsibilities involve building and validating predictive models using advanced machine learning techniques. You'll present complex analytical results to a non-technical audience, conduct research on emerging modeling technologies, and improve modeling processes through MLOps. Collaboration with cross-functional teams is essential to ensure seamless deployment of your models into production.