We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo and SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 11,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Salt Lake City, Washington D.C., London and Amsterdam.
Plaid’s data science team is building models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.
You’ll be a data scientist embedded on the Money Movement team working on risk assessment. Right now bank transfers involve substantial uncertainty which results in both losses as well as significant frictions associated with these payments. With better risk assessments, we can help reduce these losses while improving the consumer experience of using these transfer types, allowing reliable and streamlined bank to bank payments. As a data scientist on the team, you’ll be working on building and improving risk models that can move the state of the art in the industry forward. You’ll be collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models, as well as directly interacting with our customers in this process
We're guided by our principles, including impact, growing together, embracing openness and positivity, and inventing tomorrow; we're looking for people motivated by those same principles.