You will own the development and operation of scalable web-scraping and data ingestion pipelines within a lakehouse architecture. This involves designing robust frameworks for extraction, monitoring, and failure handling while ensuring compliance with legal and privacy standards.
You will own the end-to-end architecture, development, and maintenance of the internal Python library used for building and publishing KPI indices. Additionally, you will collaborate with data scientists and DevOps engineers to ensure production-ready software, robust CI/CD pipelines, and high-quality code standards.
The data scientist will develop, deploy, and maintain KPI trackers and experimental product features while managing automated data pipelines. They are responsible for writing robust code to process data, building prototype models, and monitoring production systems using Docker and AWS.
The Director of Data Research will lead the department in defining research strategies, driving technical excellence, and overseeing the end-to-end delivery of complex KPI tracking projects. This role involves managing the team, hiring top talent, and collaborating with cross-functional stakeholders to optimize data valuation and research methodologies.
Design and build features across the full stack while managing integrations between external CRM systems and internal web platforms. Collaborate with cross-functional teams to ensure seamless data flow and maintain robust API services.
