People Research Scientist, Recruiting

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