Staff Data Scientist - Entity Resolution, IDGraph

📋 Description

• Lead evaluation and improvement of entity resolution and linking pipelines.
• Debug builds; identify anomalies; recommend modeling or system improvements.
• Define and maintain scalable performance and quality metrics using automation and LLMs.
• Partner with Engineering to optimize entity linking and ranking with Learning-to-Rank.
• Design methods to assess entity confidence and quality across the graph.
• Identify and operationalize high-impact predictive signals in the ID Graph.

🎯 Requirements

• Python and PySpark proficiency.
• Deep experience with classification models, Learning-to-Rank, anomaly detection, and modeling.
• Experience building and maintaining production-grade ML systems at scale.
• Databricks experience; graph databases (NeptuneDB, OpenCypher); GraphFrames.
• Experience applying LLMs for evaluation or signal discovery; Knowledge Graphs / GNNs.
• Master’s or PhD in CS/DS/ML/Statistics or related; 5+ years in graph-based modeling.

🎁 Benefits

• Equal opportunity employer; values diversity.
• Accommodation during the hiring process available.