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About PayJoyPayJoy is a mission-driven company dedicated to helping a billion people around the world step into the modern financial system for the first time and supporting them on a path to financial success. Founded in 2015, PayJoy’s “secret sauce” technology turns a smartphone into collateral to jumpstart unbanked consumers into the credit system. We reached profitability in 2020, reaching 8 million happy customers and over a billion dollars of sales in 2023. This RoleYou will collaborate with Risk and Fraud teams along with other data scientists at PayJoy to identify value in our data across modeling use cases. You will incorporate that signal into the data features that you will construct and into the machine learning models that you will develop and deploy. As PayJoy expands to new geographies with different data sources and new products with different customer risks, this is an opportunity to touch every aspect of the model development lifecycle.You are excited to be a part of a data science team on a mission to improve access to credit and technology in emerging markets. You are eager to learn about the intersection of machine learning and financial credit. You want to develop data features and machine learning models that allow us to confidently predict customer risk.
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