Senior Data Scientist - Financial Health & Risk ML

Brigit; New York (NY); Hybrid; 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 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.