Staff Data Scientist, ML (People Analytics & Insights)

Spearhead the next phase of talent intelligence by building predictive frameworks that forecast workforce outcomes beyond descriptive reporting. Architect a unified workforce data model by pipelineing data across recruiting systems, performance cycles, and surveys into a cohesive structure that maps the entire employee lifecycle, utilizing AI-native workflows to parse unstructured text like exit notes at scale. Define the metrics dictionary and semantic layer to standardize measurements for headcount, attrition, and trends, while driving data access control and governance to secure sensitive personnel data. Redesign employee sentiment architecture to replace annual surveys with a continuous listening framework that captures real-time organizational health. Own product delivery as the technical product owner for internal data interfaces, enforcing rigorous statistical standards through experimental design and psychometric methodologies. This role is based in Menlo Park, CA, Chicago, IL, and New York, NY, with in-person attendance expected at least three days per week.