People Data Scientist

Tech Stack

Responsibilities

• Design rigorous research and evaluation strategies for organizational health, manager effectiveness, employee experience, and talent outcomes.
• Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses for high-stakes People processes and AI-assisted workflows.
• Apply advanced statistical modeling, machine learning, and research methods to inform program design, evaluate effectiveness, and quantify business impact.
• Partner with People Operations, data engineering, and people systems teams to define data requirements, improve data quality, establish documentation standards, and ensure research datasets are governed, reproducible, and privacy-preserving.
• Build scalable people science infrastructure, including self-service agentic tools, automated validation workflows, reusable research datasets and analytical pipelines.

Culture

Requirements