Join Brigit as a Senior Data Scientist to build and improve ML models that enhance financial wellness for millions of Americans.
Posted by employer 3 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 2 days ago
Skills & Technologies
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Scientist at Brigit, the individual will focus on developing and refining machine learning models to enhance financial services for customers living paycheck to paycheck. Proficiency in Python, SQL, and machine learning techniques is essential, along with a strong analytical background and experience in a startup environment. This position is ideal for seasoned professionals who thrive in collaborative settings and are passionate about leveraging data to drive meaningful financial improvements for users.
Joblaze insights
Quick facts
From the original posting
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
Annual reimbursement for Learning & Development
High-growth company
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Standard company text repeated across Brigit's postings is omitted here.