Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Communication @ 5
Data Science @ 3
Data Visualization @ 3
Hiring @ 3
Leadership @ 3
Machine Learning @ 5
Python @ 5
R @ 5
SQL @ 5
Statistics @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking a Recruiting Research Scientist to join its People Data Solutions team. In this role, you will use rigorous scientific methods to advance the organization’s understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This position is at the intersection of organizational science, behavioral research, and people strategy—developing novel frameworks and conducting systematic research to drive evidence-based people decisions across a growing organization.
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 what are the 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 canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
- Establish 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
- Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
- Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics
- Be comfortable working in the People Analytics tech stack and collaborating with data engineers
- Be proficient in SQL and Python/R, with experience in statistical analysis and machine learning
- Have experience with data visualization and can tell compelling stories with research findings
- Possess excellent communication skills and can influence stakeholders at all levels
- Thrive in ambiguity and can balance rigor with pragmatism
- Have a 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
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- A lovely office space in which to collaborate with colleagues
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