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:
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 and maintaining the key ML models that enable our services. The key problem spaces we are focused on are:
Identifying credit risk of customers so that we can help more people in need when they need it
Identify fraud early, so we can focus on customers that rely on us for support
Optimizing our transaction timing so we aren’t causing our customers to overdraw their accounts.
We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting new use cases when needed, you will also have the opportunity to help us stand-up best practices and collaborate across Data Science. Analytics, Product and Engineering teams.
What you’ll be doing:
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.
What you have:
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
Who You Are
Passionate self-starter who is always looking for ways to optimize, test, and improve
Ability to operate through ambiguity by asking questions and learning quickly
Always willing to collaborate and help your colleagues to do their best work.
Passionate about making a difference in people's lives through your work
The anticipated annual base salary for this position is $185,000 - $225,000 with a 10% annual bonus opportunity. 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.
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.
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:
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 and maintaining the key ML models that enable our services. The key problem spaces we are focused on are:
Identifying credit risk of customers so that we can help more people in need when they need it
Identify fraud early, so we can focus on customers that rely on us for support
Optimizing our transaction timing so we aren’t causing our customers to overdraw their accounts.
We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting new use cases when needed, you will also have the opportunity to help us stand-up best practices and collaborate across Data Science. Analytics, Product and Engineering teams.
What you’ll be doing:
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.
What you have:
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
Who You Are
Passionate self-starter who is always looking for ways to optimize, test, and improve
Ability to operate through ambiguity by asking questions and learning quickly
Always willing to collaborate and help your colleagues to do their best work.
Passionate about making a difference in people's lives through your work
The anticipated annual base salary for this position is $185,000 - $215,000 with a 10% annual bonus opportunity. 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.
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.
Senior 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:
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, and maintaining the key ML models that enable our services. The key problem spaces we are focused on are:
Identifying the credit risk of customers so that we can help more people in need when they need it
Identify fraud early, so we can focus on customers who rely on us for support
Optimizing our transaction timing so we aren’t causing our customers to overdraw their accounts.
We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting new use cases when needed, you will also have the opportunity to help us stand up best practices and collaborate across Data Science. Analytics, Product, and Engineering teams.
What you’ll be doing
Build, test, improve and roll out new models in a variety of problem spaces.
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.
What you have
5+ 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
Who You Are
Passionate self-starter who is always looking for ways to optimize, test, and improve
Ability to operate through ambiguity by asking questions and learning quickly
Always willing to collaborate and help your colleagues to do their best work.
Passionate about making a difference in people's lives through your work
The anticipated annual base salary for this position is $175,000 - $200,000 with a 10% annual bonus opportunity. 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.
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.
Senior Data Scientist
Senior Analytics Engineer
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:
The Role
Brigit is a financial health platform helping everyday Americans build financial resilience. Our Data team sits at the center of every product, pricing, and promotion decision — and Analytics Engineering is the foundation that makes trustworthy, consistent data possible across the company.
As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the orchestration, the documentation, and much of the metric definitions that the entire company relies on. This is a high-ownership, high-visibility IC role. You'll be the connective tissue between raw data and the analysts, PMs, and finance partners who depend on it every day.
What you'll be doing
Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake. You'll be a code owner on the repo and will uphold and improve our SQL style, materialization patterns, incremental model conventions, and layered architecture.
Orchestrate the analytics pipeline. Manage our production dbt jobs and their SLAs (currently targeting 7AM ET freshness), monitor runtimes in Metaplane, and proactively tune orchestration to keep jobs healthy as the data volume grows.
Define and defend shared metrics. Be the authority on key metric definitions and ensure analysts, dashboards, and downstream models are using the canonical source. Participate in definition discussions and ensure decisions are documented.
Drive documentation culture. Build and own our Data tables documentation wiki and dbt model documentation. Write runbooks for incident response, onboarding guides, and contribution standards so the team can operate confidently and we can easily provide context for various genAI tools
Lead data quality and observability. Manage Metaplane monitors, triage alerts, and maintain data contracts with downstream consumers. Debug anomalies end-to-end — from ingestion to the dashboard.
Deprecate the old, build the new. Continuously identify models that no longer serve us, shepherd them through deprecation with proper signoff, and clean up corresponding warehouse tables and monitors.
Support compliance and vendor management. Handle audit and compliance reviews involving our dbt and BI tooling (Upbound/SOX), manage our dbt contract renewals, and track consumption-based usage.
Mentor the broader data team. Run code reviews with domain analysts, establish review coverage by product area, and help analysts grow their dbt contribution skills.
What you have
5+ years of experience in analytics engineering, data engineering, or a closely related role
Strong SQL and data modeling fundamentals with opinions about mart layer architecture
Experience with Snowflake (or comparable cloud warehouse) in a production context
Comfort owning orchestration tooling (Airflow, dbt Cloud, or equivalent)
A track record of building durable documentation that actually gets used
Strong communication skills across both technical and business audiences
Curiosity and drive to explore and integrate new tools in a rapidly evolving landscape
Ownership mindset and a bias for action
The anticipated annual base salary for this position is $170,000 - $190,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). 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.
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.
Senior Software Engineer - Fullstack
Software Engineer - Fullstack
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:
Role Overview:
Brigit is looking for fullstack engineers to help us scale our next-generation consumer finance platform to millions of users in the next year. We’ve found tremendous traction helping low income Americans make ends meet; now is the time to scale. We’ve built a mobile/web app on React and React Native with Typescript, and a backend of Java services in Google Cloud. It’s served us well so far, but we need help making it even better.
Our team has two main goals:
Feature development supporting numerous external and internal applications. The next generation of our product may look nothing like it does today - and we welcome that! The degree to which we implement new user flows, compute our proprietary algorithms, integrate with 3rd party APIs, store data, and serve traffic will make or break our success.
Scalability of our customer-facing applications. Growing from 100k to 10 million users presents unique technical challenges. The efficiency and reliability of both our customer-facing and internal tools needs to improve. We have fun Data Engineering tasks, automation procedures, and availability/monitoring problems to tackle. We also have many user-facing projects, including the creation and upkeep of components and libraries, GraphQL API design, testing and QA processes, and CI/CD enhancements.
Our team is small and nimble; you'll be given an extraordinary amount of autonomy and ownership. More importantly, you have a large say in the direction of the company -- both in terms of our technology and our product.
Recent accomplishments of our team are:
Building a Payments API platform that moves millions of dollars on a daily basis
Implementing the advanced mathematical processes behind our proprietary risk algorithm
Normalizing relational database schema to optimize for performance for over 1 million users
Allowing users to connect their Payroll as an income source
End to end User notification (via SMS, Email, Push) capabilities
Building internal tools that enable our Customer Support Specialists to help our customers ASAP
One of our greatest strengths is the speed at which we move. If you want to propose a new way of doing things, we are all ears. If you have an idea for a new feature, we'll be open to it. A new design paradigm? Bring it on.
At Brigit you can enjoy a mature CI/CD platform with automated deployment processes, an easy-to-use local/staging/production development environment, and teammates willing to fill in the gaps. We automate manual things so we can focus on thinking and building something that helps people.
As a fullstack engineer we’re looking for someone with experience owning a feature from start to finish on both the frontend and backend. We don’t expect everyone to know everything in our stack, but having one side of overlap (frontend/backend) that you feel very comfortable with will set you up for success here.
*This is a full-time role which will operate out of Brigit’s New York office, with the option to work remote 2-3x per week.
What You'll Be Doing:
A/B testing and optimizing features that help our users and our business
Optimizing queries and relational database schema to ensure speedy response times
Implementing algorithms related to monetary transaction evaluation, risk management, income verification, and other predictive models
Integrating with new 3rd party APIs to serve millions of customers
Decreasing our customer service workload by building improvements to the product or improving our internal automations
Implementing interaction and motion design for more delightful user experiences
Automating visual testing & visual regression detection processes
Creating new mobile & web clients for upcoming products
A/B testing and optimizing features that help our users and our business
What you have:
4+ years of industry experience as a software engineer
Experience using AI tooling efficiently, familiar with best practices
Experience building REST based services and API development, ideally in Java
Experience building UI/UX for new features from end-to-end using React or React Native
GraphQL experience a plus
Up-to-date grasp of the constantly evolving JS language standards, ES6 and beyond (we use Typescript)
Experience with SQL databases, constructing schemas, performing migrations and writing analytical queries
Kubernetes, Docker or other container system experience is a plus
Quantitative skills, knowledge or experience in Finance is a plus
The Interview Process
Get to Know You - 30 mins - Intro call - Come prepared to answer a few questions relevant to your experience, interests, and the role at Brigit. This helps us get to know you better and go beyond your resume or other application materials.
Technical Interview, Java, Testing and Debugging - 60 mins - Pair program with an engineer using HackerRank. This interview will be in Java and is an exercise meant to show off your fundamental coding skills. In this session, you’ll work with an engineer to test, debug, and fix a faulty data structure implementation.
Team Behavioral + Take Home Project
Team Behavioral - 60 mins - Meet with one of our Engineering Managers to discuss your approach to collaboration, communication, and alignment with our team values and culture.
Take Home Project, React - (2-4 hours total, on your own time) - You will be asked to re-create a simple game of Black Jack. This is an opportunity to showcase your process and approach for creating a working realish-world feature/product in a React environment.
Final Panel Interview
Technical Interview, System Design - 60 mins - Meet with an engineer and work through API-related business problems.
Take Home Follow-Up - 60 mins - In this interview, the team will walk through your initial Blackjack assessment with you. They’ll review the overall structure, discuss any bugs or issues they’ve identified, and work with you to add additional functionality or enhancements to the project.
Technical Interview, Service Architecture - 60 mins - Meet with one last engineer for a conversational interview around your architecture-related experience.
The anticipated annual base salary for this position is $155,000 - $170,000. 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.
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.
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