The Brick

Lead Data Scientist, Machine Learning

The Brick

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇲🇽 Mexico

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Salary

💰 MX$110,000 - MX$118,000 per month

Job Level

Senior

Tech Stack

PythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

  • Own and shape the company's machine learning landscape with a focus on credit risk and portfolio health
  • Design, build, and continuously improve credit scoring models using credit bureau, behavioral, and alternative data sources
  • Leverage advanced ML/AI techniques (gradient boosting, neural networks, feature engineering) to optimize risk assessment
  • Own the ML lifecycle from experimentation to production, ensuring scalable, robust, and explainable models in partnership with engineering teams
  • Set up monitoring, model validation, and performance tracking systems to ensure predictive stability and compliance
  • Collaborate with product, operations, and risk analysis teams to integrate ML-driven solutions into lending, collections, and new product launches
  • Act as subject-matter expert in data science for risk, mentoring team members and setting best practices for model governance, fairness, and interpretability

Requirements

  • Bachelors or Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field (Titulado)
  • English: Advanced (B1 or B2)
  • 5+ years experience in applied machine learning, focused on credit risk, consumer lending, or financial services
  • 5+ years experience with Python
  • 5+ years experience with SQL
  • 5+ years experience with ML frameworks (e.g., scikit-learn, XGBoost; TensorFlow/PyTorch nice to have)
  • 5+ years experience deploying and maintaining ML models in production
  • Familiarity with credit bureau data, behavioral analytics, and alternative data sources
  • 5+ years experience with BI/visualization tools (e.g., Tableau, Power BI, Looker)
Benefits
  • MX$ 110,000.00 - MX$ 118,000.00 (Mexican Peso) salary range shown on posting
  • $6,000 to $6,500 USD NET Salary offered
  • Flexible work locations (Remote job)
  • Relocation options available
  • Competitive compensation package aligned with experience
  • Opportunity to shape the company's ML and risk strategy
  • Mission-driven, collaborative team environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learningcredit scoring modelsgradient boostingneural networksfeature engineeringPythonSQLML frameworksmodel validationperformance tracking
Soft skills
mentoringcollaborationcommunicationbest practicessubject-matter expertise
Certifications
Bachelors degreeMasters degree
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