-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 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 fieldRemote-First Culture: Work from anywhere with versátil hoursProfessional Growth: Continuous learning and development opportunitiesCompetitive Compensation: Market-leading salaries and benefitsGlobal Team: Collaborate with talented professionals worldwideWe are a premier software outsourcing company, partnering with some of the world's most successful businesses to build and manage dedicated, remote teams of top-tier software engineers and other technical talent.
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📌 Data Science (Mendoza)
🏢 iTalent Connection
📍 Mendoza