Senior Data Scientist

Key Skills

Analytical and Problem solving, Data Modeling, Docker, Node.js, NoSQL, NumPy, Python Programming, PyTorch, SQL

Job Description

The Role

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 solving some exciting problems:

• Help more users to take out a cash advance by better analyzing their credit risk
• Providing gig economy users with access to cash advances in a responsible manner 
• Optimizing our funnel conversion to acquire better quality users and improve long-term LTV
• Increasing credit limits of our users thereby increasing their 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 building classification and prediction models, testing them in a start-up environment, and improving them over time.
• 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
• Experience working in Direct to Consumer, 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

The anticipated annual base salary for this position is $100,000 - $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
• Equity participation
• Flexible PTO Policy
• 401k plan
• Paid Parental Leave
• 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.