Senior Data Scientist

Summary

Join Brigit, a leading financial health company, as a Data Scientist and contribute to building and improving crucial models for credit risk assessment, marketing optimization, and customer retention. You will leverage rich data to derive insights and build complex models, collaborating closely with Product and Engineering teams. This role requires advanced data science expertise, proficiency in Python and SQL, and experience in machine learning. Brigit offers a competitive salary, comprehensive benefits, and a dynamic work environment focused on making a positive impact on people's lives. The company is recognized for its innovative work and commitment to employee well-being. You will have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way.

Requirements

• Advanced degree in data science, statistics, computer science, or related field
• 3+ years of experience doing data science (modeling + analysis)
• Proficiency in Python and in-depth understanding of SQL
• Competent 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 together
• Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring 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)

Responsibilities

• Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks
• Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts
• Monitor the performance of the models in production and take appropriate actions when necessary
• Analyze how our customer base is shifting as we grow and pinpoint areas we can improve
• Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics

Preferred Qualifications

• ML model deployment in production experience
• Technical presentation skills
• Experience working in B2C, marketplace, lending, or subscription oriented business

Benefits

• 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