Senior Data Scientist - Risk, Fraud & ML Modeling

Apply; San Francisco (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Flexible PTO Policy

401k plan

Paid Parental Leave

Virtual workouts and discounted gym memberships

Job summary

Brigit is seeking a Data Scientist to help make financial services more affordable for Americans living paycheck to paycheck. Responsibilities include building and improving ML models to predict credit risk and identify fraud, while collaborating across Data Science, Product, and Engineering teams.

The ideal candidate has over 6 years of experience in data science, an advanced degree, and proficient in Python and SQL. This role offers a salary range of $185,000 to $215,000 annually, along with attractive benefits.

Qualifications

• 6+ years of experience doing data science (modeling + analysis).
• Proven expertise in machine learning principles and techniques.
• Experience building classification and prediction models.

Responsibilities

• Build, test and roll out new underwriting and risk models.
• Contribute to building best practices for feature development.
• Mentor more junior data scientists on the team.

Skills

Data science

Machine learning

Python

SQL

Communication

Education

Advanced degree in data science, statistics, or related field

Tools

scikit-learn

JupyterLab

pandas

matplotlib

statsmodels

Job description

Brigit is seeking a Data Scientist to help make financial services more affordable for Americans living paycheck to paycheck. Responsibilities include building and improving ML models to predict credit risk and identify fraud, while collaborating across Data Science, Product, and Engineering teams.

The ideal candidate has over 6 years of experience in data science, an advanced degree, and proficient in Python and SQL. This role offers a salary range of $185,000 to $215,000 annually, along with attractive benefits.