Lead Data Scientist & ML for Credit Risk (Remote)

The Brick Soluciones; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading fintech company is seeking a Lead Data Scientist for a remote role in Mexico. The position focuses on designing and improving credit scoring models using advanced machine learning techniques. Ideal candidates should have over 5 years of experience in applied machine learning, proven expertise in Python and SQL, and a strong grasp of ML frameworks. This role offers an opportunity to shape the company's ML strategy and directly impact financial inclusion in Latin America, along with a competitive salary package.

Servicios

Flexible work locations

Relocation options available

Competitive compensation package

Formación

• 5+ years of experience in applied machine learning in financial services.
• Proven expertise in Python and SQL.
• Experience deploying and maintaining ML models in production.

Responsabilidades

• Design and improve credit scoring models using various data sources.
• Leverage advanced ML techniques to optimize risk assessment.
• Own the ML lifecycle from experimentation to production.
• Set up monitoring and validation systems for model performance.
• Integrate ML-driven solutions into decision-making processes.
• Mentor team members on data science best practices.

Conocimientos

Applied machine learning

Python

SQL

ML frameworks (scikit-learn, XGBoost, TensorFlow/PyTorch)

BI/visualization tools (Tableau, Power BI, Looker)

Advanced English (B1/B2)

Educación

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field

Descripción del empleo

A leading fintech company is seeking a Lead Data Scientist for a remote role in Mexico. The position focuses on designing and improving credit scoring models using advanced machine learning techniques. Ideal candidates should have over 5 years of experience in applied machine learning, proven expertise in Python and SQL, and a strong grasp of ML frameworks. This role offers an opportunity to shape the company's ML strategy and directly impact financial inclusion in Latin America, along with a competitive salary package.