People Data Scientist
Core
Design rigorous research and evaluation strategies for organizational health, manager effectiveness, and employee experience using advanced statistical modeling and machine learning.
Role type
Senior IC People Data Scientist (Research & Measurement)
Builds
Scalable people science infrastructure, self-service agentic tools, automated validation workflows, and reusable research datasets.
Domain
Organizational behavior, HR analytics, and AI-assisted workflow evaluation
Deliverable
production ML models | research | dashboards & analysis
Required skills
Research design, experimentation, measurement, causal inference, statistical modeling, psychometrics, survey methodology, structural equation modeling, multilevel modeling, randomized controlled experiments, A/B testing, quasi-experimental design, validation studies, machine learning evaluation, R, Python, SQL
Preferred skills
Evaluating AI-assisted workflows, algorithmic systems, human-AI decision processes, model evaluation methods
Technologies
R, Python, SQL
Responsibilities
Design rigorous research and evaluation strategies for organizational health and talent outcomes; Conduct fairness, adverse impact, validity, reliability, calibration, and measurement-invariance analyses; Apply advanced statistical modeling and ML to inform program design and quantify business impact; Partner with People Operations and data engineering to define data requirements and ensure governed, reproducible datasets; Build scalable people science infrastructure including self-service tools and analytical pipelines; Develop research playbooks for study design and validation standards.
Seniority
Senior, hands-on IC
