Brigit
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Senior Data Scientist
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Brigit Join to apply for the
Senior Data Scientist
role at
Brigit Get AI-powered advice on this job and more exclusive features. 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 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
Role Overview:
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’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
What you have:
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) 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
The anticipated annual base salary for this position is $165,000 - $190,000. 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 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Brigit by 2x Sign in to set job alerts for “Senior Data Scientist” roles.
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Senior Data Scientist
role at
Brigit Join to apply for the
Senior Data Scientist
role at
Brigit Get AI-powered advice on this job and more exclusive features. 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 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
Role Overview:
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’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
What you have:
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) 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
The anticipated annual base salary for this position is $165,000 - $190,000. 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 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Referrals increase your chances of interviewing at Brigit by 2x Sign in to set job alerts for “Senior Data Scientist” roles.
Senior Business Data Scientist, Consumer Research and Insights
New York, NY $166,000.00-$244,000.00 1 day ago New York, NY $160,000.00-$216,000.00 3 weeks ago New York, NY $152,000.00-$190,000.00 2 weeks ago New York, NY $205,000.00-$240,000.00 2 weeks ago New York, NY $253,000.00-$314,000.00 1 week ago New York, NY $206,000.00-$281,000.00 2 weeks ago New York, NY $176,000.00-$220,000.00 2 weeks ago Summit, NJ $125,000.00-$180,000.00 3 months ago Director, Data Science Platform | Data Science Platform
Data Science Manager, Demand Planning and Forecasting
New York, NY $206,000.00-$281,000.00 3 days ago East Hanover, NJ $194,600.00-$312,400.00 2 weeks ago Director, Data Science/Advanced Analytics - VP
New York, NY $160,000.00-$220,000.00 2 weeks ago New York, NY $170,000.00-$200,000.00 4 days ago New York, NY $239,000.00-$329,000.00 3 days ago New York, NY $205,000.00-$225,500.00 1 week ago Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence:
Founding Data Science Manager, Domains Search
New York, NY $185,500.00-$299,000.00 4 days ago New York, NY $132,715.00-$208,840.00 4 days ago Manager, Growth Data Science & Analytics
New York, NY $190,000.00-$200,000.00 2 weeks ago Director, Data Scientist - Apollo/Card Data
Manager, Media Data Scientist (Advanced Analytics - Media)
New York, NY $87,210.00-$137,195.00 2 weeks ago New York, NY $179,500.00-$247,000.00 2 days ago New York, NY $132,715.00-$208,840.00 6 days ago Data Science Manager – Marketing & Strategy
Associate Director, Commercial Analytics and Data Science
New York, NY $171,000.00-$185,000.00 3 days ago New York City Metropolitan Area $115,000.00-$173,000.00 12 hours ago Senior Data Analyst, LUS Revenue Reporting
New York, NY $128,000.00-$160,000.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr