Responsibilities
- PDF Mining: Extract structured data from scanned or text-based PDFs, including property records and filings.
- Web Scraping: Develop scrapers to pull data from public websites, real estate portals, and government records.
- Interactive & Custom Data Visualization: Build bespoke maps, charts, and dashboards to support editorial storytelling.
- Data Cleaning & Normalization: Standardize, deduplicate, and reconcile inconsistent records across multiple sources.
- Entity Resolution & Research: Identify and verify real estate entities (buyers, sellers, LLCs, brokers, developers) using registries and public records.
- Story Support & Collaboration: Partner with editors and reporters to translate data into compelling narratives, graphics, and insights.
- Automation & Workflow Scripting: Create and refine scripts to automate routine data tasks, including scheduled scraping and data transformation.
- Manual Record Cleaning: Willingness to perform tedious but essential data tasks, such as reconciling names, addresses, or document IDs by hand.
Qualifications
- Journalistic Rigor & Detail Orientation: Capable of tracing data lineage, documenting sources, and identifying inconsistencies or red flags.
- Strong Data Literacy in a Real Estate Context: Ability to understand how data reflects trends, transactions, and players in the property world.