Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Python @ 5
SQL @ 5
R @ 5
Statistics @ 3
Machine Learning @ 5
Data Science @ 3
Leadership @ 3
Communication @ 3
Reporting @ 3
AI @ 3
Data Visualization @ 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
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team is a growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
You’ll join the People Data Solutions team as a Recruiting Research Scientist supporting Recruiting. The role sits at the intersection of organizational science, behavioral research, and people strategy. You will design and execute rigorous research to advance understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity, and translate findings into actionable products and metrics used by leadership.
Responsibilities
Research design & scientific inquiry
- Design and execute systematic research studies on recruiting funnel health, assessment quality, candidate experience, and quality of hire
- Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using experimental and quasi-experimental methods
- Conduct mixed-method research to identify drivers and blockers to recruiting operations
- Navigate research ethics considerations when studying candidate data
Selection & assessment research
- Design and execute validation studies for interviews and selection tools
- Use psychometric techniques to analyze and improve interviewer calibration and rating consistency
- Lead investigative research into innovative candidate assessment approaches
Metrics design and governance
- Design the metrics framework for recruiting org health (KPIs, dimensions, canonical definitions)
- Establish governance and definitional rigor to keep metrics consistent across tools and reporting surfaces
Analytical solution building
- Architect analytical solutions that convert research insights into products for scenario and strategic planning
- Quantify adoption and downstream impact of deployed tools and drive iterative improvements
Visualization & communication
- Build visualizations and dashboards to make complex research findings accessible
- 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 related 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 telling compelling stories with research findings
- Strong communication skills; able to influence stakeholders at all levels
- Ability to work in ambiguity and balance rigor with pragmatism
- Track record of using data to challenge assumptions and change long-held practices
- Ability to navigate sensitive topics diplomatically while maintaining analytical rigor
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
Annual Salary
$275,000 - $370,000 USD
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Location-based hybrid policy: expected to be in one of Anthropic’s offices at least 25% of the time
- Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist when they make an offer
How we're different
Anthropic organizes large-scale collaborative research efforts and values communication and impact. The team emphasizes empirical AI research and frequent research discussions.