-Build and maintain services that power decision engine, the core of our product

-Design and develop statistical and machine learning models to support underwriting, fraud detection, and user engagement

-Write production-ready Python code (FastAPI, Pandas, SQLAlchemy) to deploy models and pipelines into live systems

-Develop and optimize ETL jobs and data pipelines to transform raw data into actionable insights

-Write and maintain SQL queries to analyze user behavior, product performance, and financial metrics

-Partner with product and business teams to analyze funnels, unit economics, and risk metrics, translating insights into strategic decisions

-Design and run data-driven experiments (A/B tests, causal analysis) to validate product improvements and policy changes

-Leverage LLMs and AI-powered tools to accelerate data exploration, automate reporting, and support SQL/analysis workflows

-Prototype and integrate AI-driven workflows (agents, RAG pipelines, anomaly detection, automated monitoring) in data stack

-Implement and maintain unit and integration tests to ensure model and pipeline reliability

-Communicate findings and recommendations clearly across both technical and non-technical stakeholders

📌 Data Science (Argentina)
🏢 iTalent Connection
📍 Argentina