Senior Applied Data Scientist

Belvo; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Belvo is seeking a Senior Applied Data Scientist to develop and deploy risk models for financial data access in Latin America. The role emphasizes production-ready data science, with a focus on credit risk, fraud detection, and transaction categorization. You will deploy models to production and monitor performance to ensure robust evaluation.

You will work with a diverse team and leverage data exploration tools to validate features and measure offline performance through A/B tests.

Qualifications

• Extensive experience executing data science in production environments.
• Strong proficiency in Python and ML frameworks.
• Experience developing risk, fraud, or categorization models.

Responsibilities

• Deploy models to production and monitor performance.
• Address data drift and monitor model health.
• Collaborate with cross-functional teams to improve data platforms.

Skills

Python

Production data science

ML frameworks

Tools

TensorFlow

Job description

Belvo seeks a Senior Applied Data Scientist to develop and deploy risk models for financial data access in Latin America. Ideal candidates have extensive experience in production data science and proficiency in Python and machine learning frameworks.

As a Senior Applied Data Scientist at Belvo, you will focus on creating and enhancing models for credit risk, fraud detection, and transaction categorization. Your work will directly impact financial data accessibility across Latin America, contributing to the company's mission as an open finance API platform.

You will be responsible for deploying models to production, monitoring performance, and addressing data drift. Collaboration with a diverse team is essential, and you will leverage tools for data exploration and feature validation, ensuring robust model evaluation through A/B testing and offline assessments.