Lead Data Scientists & Ml (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

Join to apply for the Lead Data Scientists & ML (Remote) role at The Brick SolucionesOpportunity to work as a Data Scientist in a Leading Mexican Fintech on the path to becoming a universal bank.

Location: Mexico City, Flexible (with relocation options).

About Us

Details discussed individually. We are an ambitious and rapidly growing fintech startup based in Mexico, driven by the mission to redefine banking in Latin America.

What We Offer

• $6,000 to $6,500 USD NET Salary
• Flexible work locations, with relocation options available (Remote job)
• The opportunity to shape the company's ML and risk strategy from the ground up, with direct impact on financial inclusion in Latin America.
• A competitive compensation package, aligned with your experience and impact.
• A mission-driven, collaborative team building the future of finance in Latin America.

What We're Looking For

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
• (Titulado) English: Advanced (B1 or B2) Exp.
• In applied machine learning, with a focus on credit risk, consumer lending, or financial services (+ 5 years).
• Proven expertise in Python and SQL (+ 5 years).
• Strong grasp of ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow / PyTorch).
• Experience deploying and maintaining ML models in production (+ 5 years).
• Familiarity with credit bureau data, behavioral analytics, and alternative data sources.
• Experience with BI / visualization tools (e.g., Tableau, Power BI, Looker) (+ 5 years).

What You'll Do

• ML & Scoring Ownership: Design, build, and continuously improve credit scoring models using credit bureau, behavioral, and alternative data sources.
• Model Innovation: Leverage advanced ML / AI techniques (e.g., gradient boosting, neural networks, feature engineering from alternative data) to optimize risk assessment and enable financial inclusion.
• End-to-End Deployment: Own the ML lifecycle from experimentation to production, ensuring scalable, robust, and explainable models in partnership with engineering teams.
• Risk Intelligence: Set up advanced monitoring, model validation, and performance tracking systems to ensure predictive stability and compliance.
• Product Partnership: Collaborate closely with product, operations, and risk analysis teams to integrate ML-driven solutions into decision-making across lending, collections, and new product launches.
• Thought Leadership: Act as the subject‑matter expert in data science for risk, mentoring team members and setting best practices for model governance, fairness, and interpretability.
• Senior Level: Mid-Senior level.
• Employment type: Full-time.
• Job function: Engineering and Information Technology.
• Industries: IT Services and IT Consulting.