Lead Data Scientist

Details

• Built In's 2026 Best Midsize Companies to Work For in New York City
• Built In's 2025 Best Places to Work For In New York City
• Built In’s 2024 & 2025 Best Startups to Work For In the U.S.
• Built In’s 2023 - 2025 Best Startups to Work For In New York City
• Fast Company’s Most Innovative Companies of 2022
• Business Insider’s Most Promising Consumer Startups 2022
• Forbes Fintech 50 2022
• Identifying credit risk of customers so that we can help more people in need when they need it
• Identify fraud early, so we can focus on customers that rely on us for support
• Optimizing our transaction timing so we aren’t causing our customers to overdraw their accounts.
• Build, test and roll out new underwriting and risk models to better predict risk
• You’ll have ownership of the full modeling lifecycle from conception through to production and realize every bit of impact along the way.
• Build, test and roll out new or improved models related to fraud and payments.
• Contribute to building best practices for feature development, model training and model testing and monitoring.
• Analyze how our customer base is shifting as we grow and pinpoint areas we can improve.
• Help our existing engineering and business teams achieve our cross-functional goals.
• Mentor more junior data scientists or aspiring data scientists across the data team.
• 6+ years of experience doing data science (modeling + analysis)
• Advanced degree in data science, statistics, computer science, or related field.
• Proven expertise in machine learning principles and techniques
• Experience in Python, using industry-standard modeling toolkits like sklearn, JupyterLab, pandas, matplotlib, statsmodels, etc.
• Experience in writing complex SQL queries and the ability to put together multiple data sources
• Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, creating and owning performance and model monitoring
• Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models.
• Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams)
• Experience building end-to-end data science solutions to address business needs: from ideation to deployment & AB testing
• Strong written and verbal communication skills, with the ability to explain complex concepts to various audiences
• Passionate self-starter who is always looking for ways to optimize, test, and improve
• Ability to operate through ambiguity by asking questions and learning quickly
• Always willing to collaborate and help your colleagues to do their best work.
• Passionate about making a difference in people's lives through your work
• Medical, dental, and vision insurance
• Flexible PTO Policy
• 401k plan
• Paid Parental Leave
• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
• Monthly reimbursements to use against wifi and cell phone bills
• Annual reimbursement for Learning & Development
• Help hard working Americans build a brighter financial future
• High-growth company
• A dynamic, flexible and collaborative start-up work environment with a highly talented team
• For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
• Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.