Data Scientist

• Develop and maintain entity resolution techniques to match and link records across sources with inconsistent identifiers
• Prototype, build, and evaluate LLM and ML-based extraction and inference models that turn unstructured or free-text data into structured outputs
• Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition workflows
• Build, iterate on, and monitor applied ML models to proactively identify data or concept drift
• Enrich and enhance datasets with product-ready calculated fields and derived metrics
• Assist in building automated or ad-hoc QA validation processes to validate model output accuracy, reliability, and consistency
• Take ownership of the applied ML backlog, including entity resolution, LLM-based structured extraction, and topic modeling
• Turn unstructured data into structured, product-ready outputs and ensure data accuracy and reliability at scale