-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

Requisitos

-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 skills, with the ability to collaborate in a remote-first environment -A responsible, detail-oriented mindset with a strong sense of ownership -Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or related field

Incentivos

Remote-First Culture: Work from anywhere with flexible hours Professional Growth: Continuous learning and development opportunities Competitive Compensation: Market-leading salaries and benefits Global Team: Collaborate with talented professionals worldwide

📌 Data Science (Argentina)
🏢 iTalent Connection
📍 Argentina