People Research Scientist, Recruiting
Conduct rigorous research on recruiting funnels, interview effectiveness, and candidate assessment using data science and psychometrics to drive evidence-based hiring decisions at an AI safety company.
Responsibilities
Research design & scientific inquiry
- Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire
- Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods
- Conduct mixed-method research to understand drivers and blockers to recruiting operations
- Navigate research ethics considerations when studying candidate data, ensuring responsible research practices
Selection & assessment research
- Design and execute validation studies to assess the quality of interviews and other selection tools
- Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency
- Lead investigative research into innovative approaches for candidate assessment
Metrics design and governance
- Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
- Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces
Analytical solution building
- Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning
- Quantify the adoption and downstream impact of deployed tools, driving iterative improvements
Visualization & communication
- Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
- Present research findings to senior leadership with clear, actionable recommendations
Requirements
- Advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
- Experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics
- Comfortable working in the People Analytics tech stack and collaborating with data engineers
- Proficient in SQL and Python/R, with experience in statistical analysis and machine learning
- Experience with data visualization and can tell compelling stories with research findings
- Excellent communication skills and can influence stakeholders at all levels
- Thrive in ambiguity and can balance rigor with pragmatism
- Track record of challenging assumptions with data and changing long-held practices
- Can navigate sensitive topics diplomatically while maintaining analytical rigor
- Demonstrate intellectual humility and comfort with iterative discovery
- Use data to improve how organizations find, assess, and hire talent
Preferred Qualifications
- 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
- Background in recruiting analytics specifically (not just general analytics)
- Experience running interview or assessment validation studies
- Experience building self-service analytics tools or dashboards
- Previous experience in high-growth technology companies or AI/ML organizations
- Familiarity with network analysis, machine learning, or advanced statistical methods
- Experience with BigQuery and modern data stack tools
- Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools
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