People Research Scientist, Recruiting (AI)

TL;DR

People Research Scientist, Recruiting (People Analytics): Developing scientific frameworks to optimize recruiting funnels and interview effectiveness with an accent on behavioral research and psychometrics. Focus on designing validation studies, building metrics frameworks for organizational health, and creating data-driven analytical solutions for hiring.

Location: Hybrid (San Francisco, CA | New York City, NY | Seattle, WA). Staff are expected to be in one of these offices at least 25% of the time.

Salary: $285,000 - $380,000 USD per year

Company

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

• Design and execute systematic research studies on recruiting funnel health, assessment quality, and candidate experience.
• Conduct validation studies and utilize psychometric techniques to improve interviewer calibration and rating consistency.
• Define and govern canonical KPIs and metrics frameworks that leadership uses to understand hiring quality and capacity.
• Architect analytical solutions that convert research insights into actionable products for strategic planning.
• Build visualizations and dashboards to make complex research findings accessible to senior leadership.

Requirements

• Advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, or Behavioral Science.
• Proficiency in SQL and Python or R, with experience in statistical analysis and machine learning.
• Experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics.
• Must be based in or able to work from San Francisco, New York, or Seattle to satisfy the hybrid office policy.
• Strong communication skills with the ability to influence stakeholders at all levels.

Nice to have

• 5+ years of experience in research or people analytics.
• Experience with BigQuery and modern data stack tools.
• Familiarity with network analysis or advanced statistical methods.
• Experience with recruiting tools such as Greenhouse, Gem, or ModernLoop.

Culture & Benefits

• Competitive compensation and optional equity donation matching.
• Generous vacation and parental leave policies.
• Flexible working hours and collaborative office environments.
• Visa sponsorship availability for qualifying candidates.