Job details

Data Scientist (Visa Predictive Models) - job 32 of 33

Get a free resume review

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

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At Visa, we’re all about leveraging data to revolutionize the payment experience, and that’s where the Data Scientist (Visa Predictive Models) role comes in! Located in Washington, you’ll join the Visa Predictive Modeling (VPM) team, which utilizes our world’s largest consumer payment transaction dataset to help clients expand their businesses while ensuring a fast and safe consumer payment experience. You’ll be diving deep into advanced machine learning techniques to create and maintain predictive models that support our Risk and Identity Solutions. You’ll work with a rich set of data, from transactional to digital and identity information, to build real-time fraud detection models that serve our merchants effectively. In this hybrid role, you will collaborate with cross-functional teams—including Product Managers and Data Engineers—to seamlessly deploy model innovations into production. Your work will not only enhance the efficiency of our modeling processes through MLOps and automation, but it will also contribute significantly to the growth of Visa clients and improve their financial experiences. If you're passionate about data and want to make a tangible impact in the world of financial technology, the Data Scientist role at Visa is your next career move.

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

What are the responsibilities of a Data Scientist at Visa?

As a Data Scientist (Visa Predictive Models), your primary responsibilities include building and validating predictive models utilizing advanced machine learning techniques, interpreting the results for a non-technical audience, and conducting research with emerging technologies like Deep Neural Networks. You will also enhance the modeling process through MLOps, collaborate with cross-functional teams for smooth deployment, and manage model risks in accordance with Visa’s Model Risk Management guidelines.