Data Scientist

Role: Data Scientist

Location: Argentina Remote

Duration: Full-Time

Primary skills:

• PDF extraction & OCR post-processing: Hands-on experience extracting structured data from PDF, HTML, and scanned sources. Proficiency with Python libraries (pdfplumber, PyMuPDF, Tesseract OCR) and the ability to build robust post-processing and validation pipelines.
• Python proficiency: Working experience in Python for data manipulation, analysis, and pipeline development. Comfortable with core OOP concepts (classes, encapsulation, inheritance) at a functional level.
• Generative AI: Knowledge and experience in Generative AI (LLM models, prompting techniques, RAG / GraphRAG solutions).
• SQL: Strong working experience in SQL for data querying, validation, and transformation.
• Data analysis & transformation: Experience analysing, transforming, manipulating and interpreting data.
• Collaborative code repositories: Experience with shared code repositories (Git/GitHub).

Good to have skills:

• Azure Databricks / PySpark: Experience with Databricks and PySpark for high-volume distributed data processing scenarios.
• XBRL / iXBRL: Familiarity with XBRL and iXBRL financial reporting formats is an advantage for financial data product work.
• Agile and scrum tools: Experience working with agile and scrum tools (Azure DevOps).
• Knowledge graphs / graph databases: Experience with Neo4j / Cypher or similar graph technologies.