- Mississauga, Ontario, Canada
- Full-time · Lead
- CA$122K–CA$163K per year
- 8+ years
Seeking an applied workforce scientist who combines advanced quantitative methods, employee listening analytics expertise, and business judgment to reveal how employees experience the organization and what most influences engagement, culture, retention, and organizational health.
Compensation
Base Pay Range for this position $122,100 - $162,800
Responsibilities
- Build and validate statistical and machine learning models (regression, classification, survival analysis, clustering, key-driver analysis) to explain and predict engagement, retention, culture, and organizational health outcomes.
- Design rigorous analyses, including quasi-experimental and causal inference approaches, to assess the impact of programs, leader actions, and listening interventions.
- Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance, to maintain the credibility of listening data.
- Conduct open-ended discovery to test hypotheses, explore anomalies, and identify previously unseen relationships.
- Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus, or a related field
- Master's degree or PhD preferred