Serve as the research expert for Anthropic's Recruiting organization on the People Data Solutions team. Design and execute studies on recruiting funnels, interview validation, psychometrics, and candidate experience to drive evidence-based hiring decisions using SQL, Python/R, and advanced analytics.
285k – 380k/yr
Hybrid5+ YOEData Science
About the role
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
Minimum Qualifications
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
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
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
Lead rigorous research on employee experience, manager effectiveness, and organizational health at Anthropic. Design studies, analyze surveys with psychometrics, build frameworks, and translate findings into people strategy using SQL, Python/R, and advanced methods. Requires advanced degree and 5+ years quantitative research experience.
285k – 380k/yr
Hybrid5+ YOEData Science
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