Lead Data Scientist

ABOUT THE ROLE We're seeking a highly skilled Data Scientist to join our team at Brigit, a holistic financial health company dedicated to helping everyday Americans build a brighter financial future. As a Data Scientist, you'll play a crucial role in building, improving, and maintaining the key machine learning (ML) models that enable our services. Your primary focus will be on identifying credit risk, detecting fraud, and optimizing transaction timing to ensure our customers receive the support they need. WHAT YOU'LL DO As a Data Scientist at Brigit, you'll be responsible for: - Building, testing, and rolling out new underwriting and risk models to better predict credit risk - Owning the full modeling lifecycle from conception through to production, ensuring every bit of impact is realized - Developing and deploying new or improved models related to fraud and payments - Contributing to the development of best practices for feature development, model training, and model testing and monitoring - Analyzing shifts in our customer base as we grow and pinpointing areas for improvement - Collaborating with engineering and business teams to achieve cross-functional goals - Mentoring junior data scientists or aspiring data scientists across the data team WHAT YOU'LL NEED To succeed in this role, you'll need: - 6+ years of experience in data science, with a focus on modeling and analysis - An advanced degree in data science, statistics, computer science, or a related field - Proven expertise in machine learning principles and techniques - Experience with Python, including industry-standard modeling toolkits like scikit-learn, JupyterLab, pandas, matplotlib, statsmodels, etc. - Experience in writing complex SQL queries and combining multiple data sources - Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, and creating and owning performance and model monitoring - Experience building classification and prediction models, testing them in a startup environment, and iterating to improve the models WHY REMOTE At Brigit, we offer a remote-friendly work environment, allowing you to work from anywhere while being part of a dynamic and innovative team. BENEFITS Unfortunately, there is no information provided about benefits in the original job description.