Data Scientist - Machine Learning Credit Assessment
With over a million customers trusting PayJoy, it’s increasingly important that our apps and services operate with integrity and high availability while keeping our customers' data confidential.
You will collaborate with Risk and Fraud teams along with other data scientists at PayJoy to identify value in our data across modelling 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 an early stage 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.
PayJoy's mission is to deliver access to credit to the next billion people in emerging markets worldwide. Our unique mobile locking technology gives customers the ability to afford their first smartphone on credit, using the phone itself as collateral, and then provides further access to credit to help weather life's unexpected financial surprises and climb the ladder of economic well-being.
Founded in 2015, today PayJoy has reached millions of customers in a dozen countries around the globe, including Mexico, Brazil, India, Kenya, and South Africa, and is on a strong growth path with support from major industry partners to bring credit to millions in the near future.
PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Finance for the next billion * Ownership * Break Through Walls * High-Bandwidth Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity