Lead Data Scientist

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In’s 2023 - 2025 Best Startups 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.

• Fast Company’s Most Innovative Companies of 2022

• Forbes Fintech 50 2022

• Business Insider’s Most Promising Consumer Startups 2022

Role overview

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.

What you have

• 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

Who You Are

• Passionate self-starter who is always looking for ways to optimize, test, and improve

• Being able to operate in ambiguity, asking questions, leaning on your colleagues, and speaking up when necessary

• You are passionate about making a difference in people's lives through your work

What you’ll be doing

• 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.

• You’ll 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.

• 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 

The anticipated annual base salary for this position is $155,000 - $210,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team

• 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 at an early stage

• A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.

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