Job Title: Senior Data Scientist Location: Remote / Latin America About Sezzle: Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers' purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with. About the Role: We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms. What You'll Do: Build machine learning-based collection systems Develop forecasting models to understand and predict cash flow Design recommender system architectures from scratch Utilize off-the-shelf recommender systems like AWS Personalize Design and conduct A/B tests to measure effectiveness Use PyTorch/TensorFlow to build neural network-based systems Deploy machine learning models in AWS Monitor model performance and feature drift What We Look For: 5+ years of experience working as a data scientist or machine learning engineer Proven track record of building and deploying impactful machine learning systems Proficiency in SQL and Python Expertise in data analysis and database structures Experience building and deploying neural networks with TensorFlow and PyTorch Experience building risk models or collection systems (a plus) Experience building machine learning recommender systems (a plus) Strong academic performance with a 4.2+/5.0 GPA Interview Process: Online Assessment (12 minutes) SQL and Python Questions (30 minutes) Virtual Interview (30 minutes) Sezzle's Technology Stack: Languages: Golang, Typescript, Python Frontend: Typescript - React and React Native Backend: Golang Database: MySQL, Postgres, Elasticsearch DevOps & Cloud: AWS, Kubernetes Version Control: Git CI/CD: Gitlab Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests #J-18808-Ljbffr