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Brigit

Lead Data Scientist

Brigit

Data Scientist at Brigit building and maintaining ML models for financial services. Focused on risk assessment, fraud detection, and optimizing transaction timing for customers.

Posted 6/29/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $185,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies
PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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

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Hard Skills & Tools
Data ScienceModelingAnalysisClassification ModelsPrediction ModelsA/B TestingHyperparameter TuningFeature DevelopmentModel Monitoring
Soft Skills
Communication SkillsMentoringCross-Functional Collaboration
Certifications
Advanced Degree in Data ScienceAdvanced Degree in StatisticsAdvanced Degree in Computer Science