Senior Data Scientist

Brigit; New York (NY); On-site; USD 175,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible PTO policy

401(k) plan

Paid parental leave

Wellbeing benefits

Monthly wifi and cell phone reimbursements

Annual reimbursement for learning & development

Job summary

Brigit in New York is searching for a Data Scientist responsible for building and maintaining crucial ML models that support services. Your role will involve identifying customer credit risk and fraud, optimizing transactions, and analyzing shifts in the customer base.

This role requires 5+ years of data science experience, advanced data science education, and proficiency in machine learning and relevant programming tools. The position offers a range of $175,000 - $200,000 and beneficial working conditions.

Qualifications

• 5+ years of experience in data science, including modeling and analysis.
• Proven expertise in building classification and prediction models.
• Experience in writing complex SQL queries and combining multiple data sources.

Responsibilities

• Build, test, improve and roll out new models for different problem spaces.
• Analyze demographic shifts in the customer base to identify improvement areas.
• Collaborate with engineering and business teams to achieve cross-functional goals.

Skills

Machine learning principles

Python

SQL

Data analysis

Communication skills

Education

Advanced degree in data science, statistics, computer science, or related field

Tools

scikit-learn

pandas

JupyterLab

matplotlib

statsmodels

Job description

Brigit is a holistic financial health company helping everyday Americans build a brighter financial future.

Role overview

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 focus on are:

• Identifying the credit risk of customers so we can help more people in need when they need it
• Identifying fraud early, so we can focus on customers who rely on us for support
• Optimizing our transaction timing to prevent customers from over‑drawing 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 scikit‑learn, JupyterLab, pandas, matplotlib, statsmodels, etc.
• Experience in writing complex SQL queries and the ability to combine multiple data sources.
• Experience creating training data sets, training models, tuning hyperparameters, performing validation, running A/B tests in production, and owning performance and model monitoring.
• Experience building classification and prediction models, testing them in a startup environment, and iterating to improve their performance.
• Ability to work effectively and communicate ideas and 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 & A/B 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.
• Comfortable operating through ambiguity by asking questions and learning quickly.
• Always willing to collaborate and help your colleagues do their best work.
• Passionate about making a difference in people’s lives through your work.

Compensation

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.

Benefits & Team

• Medical, dental, and vision insurance
• Flexible PTO policy
• 401(k) 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 for 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 breastfeeding 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.

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.