Recruiting Analytics Scientist Job at Anthropic in San Francisco

Overview

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. We are seeking a Recruiting Analytics Scientist to join our People Data Solutions team, focusing on recruiting and talent acquisition research. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of how we attract and assess exceptional talent. This role sits at the intersection of recruiting science, behavioral research, and talent strategy, developing novel frameworks and conducting systematic research that drives evidence-based hiring decisions across our growing organization.

This role offers the opportunity to make a significant impact on both our talent acquisition practices and the broader field of recruiting science.

Responsibilities

• Design and execute systematic research studies to answer fundamental questions about talent acquisition effectiveness
• Generate and test hypotheses about recruiting processes, candidate behavior, and hiring outcomes using rigorous experimental and quasi-experimental methods
• Conduct longitudinal studies tracking hiring cohorts over multiple years to understand long-term talent outcomes
• Perform meta-analyses of recruiting interventions across the industry to identify best practices and knowledge gaps
• Navigate research ethics considerations when studying candidate and employee data, ensuring responsible research practices
• Transform data into actionable insights and recommendations for talent acquisition leadership
• Develop frameworks to measure and improve hiring quality and long-term outcomes
• Apply advanced analytics and experimental methods to optimize recruiting strategies
• Analyze and enhance end-to-end recruiting processes and team effectiveness
• Design research studies to identify opportunities for process improvement
• Support strategic initiatives including geographic expansion and competitive positioning
• Evaluate and improve candidate assessment methodologies
• Build predictive models and measurement frameworks for talent decisions

Qualifications

• You may be a good fit if you hold an advanced degree (Master’s or PhD) in Statistics, Data Science, I/O Psychology, Economics, Behavioral Science, or related field
• 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated methodology expertise
• Experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference
• 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 storytelling with research findings
• Ability to navigate sensitive topics diplomatically while maintaining analytical rigor
• Demonstrated intellectual humility and comfort with iterative discovery
• Use data to improve how organizations build teams

• Strong candidates may also have background in recruiting analytics specifically, experience building self-service analytics tools or dashboards, understanding of candidate lifecycle metrics and recruiting KPIs, and familiarity with BigQuery and modern data stack tools

Compensation & Logistics

• Annual Salary: $245,000 - $300,000 USD
• Education requirements: at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: currently, staff are expected to be in one of our offices at least 25% of the time; some roles may require more time onsite
• Visa sponsorship: we sponsor visas; if we extend an offer, we will make reasonable efforts to support visa processing
• We encourage you to apply even if you do not meet every single qualification. People from underrepresented groups are encouraged to apply, and we strive to include diverse perspectives on our team

How we’re different: Anthropic is a public benefit corporation focused on steerable, trustworthy AI. We value impact and collaboration, and we emphasize strong communication skills.