-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, Num Py, Sci Py, 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

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

We 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 (Argentina)
🏢 iTalent Connection
📍 Argentina