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.