-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
-4–6+ years of experience in a data science, data analyst, or ML engineering role
-Strong Python programming skills (comfortable writing production-ready code, not just notebooks) -
Experience with SQL and relational databases (Postgres, MySQL, or similar)
-Hands-on experience with Python data libraries (Pandas, NumPy, SciPy, scikit-learn, etc.)
-Background in applied statistics and machine learning (classification, regression, clustering, etc.)
-Experience deploying models, pipelines, or analytics workflows into production environments
-Familiarity with data-driven experimentation (A/B testing, causal inference, or uplift modeling)
-Experience leveraging LLMs and AI-powered tools to improve analysis and reporting productivity
-Strong problem-solving and communication s

📌 Data Science (Argentina)
🏢 iTalent Connection
📍 Argentina