Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates should possess an advanced degree in data science, statistics, computer science, or a related field, along with at least five years of experience in data science, encompassing both modeling and analysis. Proficiency in Python is essential, coupled with a deep understanding of SQL and expertise in machine learning principles and techniques. Experience with industry-standard modeling toolkits such as scikit-learn, JupyterLab, pandas, matplotlib, statsmodels, and other relevant Python libraries is required. Furthermore, the ability to write complex SQL queries and integrate data from multiple sources is crucial.
As a Lead Data Scientist at Brigit, you will be responsible for building, improving, and maintaining critical models focused on identifying credit risk for customers, optimizing marketing spend by predicting LTV, and reducing customer churn. You will collaborate closely with Product and Engineering teams, leveraging rich, structured data to derive insights and build complex models, and supporting broader analytics use cases as needed. Additionally, you will contribute to the deployment of ML models in production, perform model monitoring, and iterate to enhance their performance, while presenting technical findings effectively to cross-functional teams.
Financial services for improving financial health
Brigit provides financial services aimed at helping everyday Americans improve their financial health. The company offers transparent and fair financial products that assist users in managing their finances effectively and avoiding unnecessary fees. Brigit's services are designed to promote wise spending and financial stability, ensuring that users can keep more of their money. Unlike many competitors, Brigit's business model aligns with the interests of its customers, focusing on putting money back into their hands rather than imposing high fees. The team at Brigit consists of experts from top institutions, bringing valuable experience in tackling financial insecurity. The company's goal is to enhance the financial well-being of its members through accessible and straightforward financial solutions.