Senior Applied Data Scientist
Core
Build production ML models for risk scoring, fraud detection, and transaction categorization using financial data from Latin America.
Role type
Senior Applied Data Scientist (AI/ML)
Builds
Production ML models, agentic coding tools, and data pipelines for financial decisioning
Domain
Fintech / Financial Services / Latin America
Deliverable
production ML models
Required skills
Statistics, Python (pandas, scikit-learn, TensorFlow/PyTorc), SQL, Model selection, Feature engineering, A/B testing, CI/CD, LLM tool use/agents
Preferred skills
Fintech experience, MLOps tooling, Business/Strategy background
Technologies
Python, SQL, TensorFlow, PyTorch, LLMs, Agentic coding tools
Responsibilities
Design and select statistical/ML models for risk and fraud; Engineer features with business context; Deploy and own models in production; Run experiments to validate impact; Partner with stakeholders to scope problems; Stay current on GenAI advancements.
Seniority
Senior, hands-on IC
