At Nova Credit, our mission is to power a more fair and inclusive financial system for the world. Nova Credit's diverse global team is stitching together the world's credit data into a single network to unlock financial opportunities for immigrants and other populations historically excluded from the credit system. We've built a platform that enables lenders to access a single, predictive cross-border credit database to help enable underwriting decisions. We are backed by leading investors, including Kleiner Perkins, General Catalyst, Index Ventures, and a Great Place to Work Certified company!

As a Senior Data Scientist, you will be part of the Data Science team within Nova Credit, playing an essential role in researching, designing, and building out our data science strategy for Cash Atlas™. Applying your critical thinking and analytical skills to data, traditional statistical modeling, and modern machine learning techniques, you will serve as a conduit to bring key functions together, including data partnerships, risk and analytics, product, engineering, and customer success, to develop and implement our core data systems. In conjunction with our customer-facing teams, you will demonstrate the strength of our product through data analytics and insights. Ultimately, your role is to ensure the delivery of high-quality predictive risk signals; every initiative you work on will be critical to our team's success!

This is a full-time, remote-friendly role reporting to the Director of Data Science. Candidates based in the New York City Metropolitan Area are strongly preferred.

Everyone is welcome at Nova Credit. We are an equal-opportunity employer where our diversity and inclusion are central pillars of our company strategy. We look for applicants who understand, embrace, and thrive in a multicultural and increasingly globalized world. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.