Senior Data Scientist II

Overview

Role involves developing impactful models for credit and fraud risk using AI/ML techniques.

Ideal candidate has 5+ years in Data Science with strong experience in Financial Services and risk modeling.

Locations

• United States

Requirements

• 5+ years of experience in Data Science
• 2+ years applying ML/AI in Financial Services
• Experience with credit and/or fraud risk
• Proficiency with Python and SQL
• Hands-on experience with Spark/PySpark

Responsibilities

• Develop, validate, and deploy AI/ML solutions
• Communicate modeling objectives and findings
• Explore and validate data sources
• Ensure rigorous documentation and clean code
• Collaborate with ML engineers

Benefits

• Flexible working culture
• Incentive programs
• 20 days PTO
• Generous paid parental leave
• 100% employer covered insurance
• Learning and wellness subscription stipend
• Company-sponsored 401k match