Senior Data Scientist

About the Company

Nova Credit is a credit infrastructure and analytics company that enables businesses to grow responsibly by harnessing alternative credit data. They provide access to fragmented consumer financial data and transform it into compliant, actionable risk analytics to help lenders make smarter credit decisions.

Responsibilities

• Research and develop credit risk predictive models based on cross-border consumer performance or bank transaction data
• Research and develop bank transaction text classification models using statistical models or LLMs
• Utilize bank transaction data to develop attributes for credit risk assessment and income verification
• Research and develop models for document processing and tampering identification
• Collaborate with engineering to guide reliable deployments of data science products
• Perform continuous research into new data sources, variables, and modeling methodologies
• Develop and execute model monitoring solutions

Requirements

• 4+ years of experience in data science, quantitative modeling, or machine learning
• Fluency in generalized linear models and machine learning methods
• Proficiency in Python and SQL
• Ability to break down complex problems into solvable components

Preferred Qualifications

• PhD or MS in Data Science, Computer Science, Statistics, or related field
• Experience with hypothesis testing
• Experience with PySpark and Polars
• Experience with NLP and document fraud
• Knowledge of consumer credit risk