Lead Workforce Scientist
Core
Lead Workforce Scientist applying advanced quantitative methods, employee listening analytics, and responsible AI to reveal how employees experience the organization and influence engagement, culture, and retention.
Role type
Senior Individual Contributor, Workforce Intelligence Data Science & Research
Builds
Advanced statistical/ML models, NLP approaches, and analytical assets connecting employee voice with workforce and business outcomes
Domain
Healthcare + Workforce Intelligence / People Analytics
Deliverable
production ML models
Required skills
Statistical modeling, Machine learning, Natural language processing, Survey science, Python, R, SQL, Causal inference, Data visualization
Preferred skills
Master's or PhD in Data Science/Statistics/CS/Math/I-O Psychology, Experience with Databricks/Snowflake/Azure, LLM-assisted analysis
Technologies
Python, R, SQL, Databricks, Snowflake, Azure, LLMs
Responsibilities
Build and validate statistical/ML models to predict engagement and retention; Design quasi-experimental and causal inference analyses; Apply survey science and psychometrics; Develop NLP approaches for open-ended feedback; Translate complex findings into executive-ready narratives
Seniority
Senior, hands-on IC
