Lead Data Scientist

September 11

🔄 Hybrid – Manhattan

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Logo of Brigit

Brigit

We're Brigit We help everyday Americans build a brighter financial future.

finances • financial services • fintech • financial technology • financial wellness

51 - 200

Description

• At Brigit we’re focused on giving the 100M Americans who live paycheck to paycheck access to more affordable financial services and getting them on the path to better financial wellness. • As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: • Identifying credit risk for our customers so that we can help more people in need when they need it. • Optimizing our marketing spend by predicting LTV for our customers. • Helping us reduce our overall churn by predicting customer churn and improving retention. • We have access to rich, structured data that we can use to derive insights and build complex models. • In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams.

Requirements

• Advanced degree in data science, statistics, computer science, or related field. • 5+ 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) • ML model deployment in production experience is a plus • Technical presentation skills is a plus • Experience working in B2C, marketplace, lending, or subscription oriented business is a plus

Benefits

• Medical, dental, and vision insurance • Equity participation • 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 at an early stage • A dynamic, flexible and collaborative start-up work environment with a highly talented team

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