Senior Data Scientist - Credit - Plaid

Key Responsibilities

• Design, develop, and deploy machine learning models for credit risk assessment and fraud detection.
• Build and maintain robust data pipelines and feature stores using SQL and AWS services.
• Collaborate with product, engineering, and data teams to translate business requirements into analytical solutions.
• Perform exploratory data analysis, feature engineering, and model validation to ensure high predictive performance.
• Document model logic, assumptions, and performance metrics for regulatory compliance and audit purposes.

Requirements

• 5+ years of experience in data science or quantitative analytics within the financial services industry.
• Proficiency in Python, SQL, and experience with AWS data services (S3, Redshift, Glue).
• Strong background in machine learning algorithms, model evaluation, and credit risk modeling.
• Excellent communication skills and ability to explain complex models to non‑technical stakeholders.
• Experience with model monitoring, versioning, and deployment pipelines is a plus.