Recruiting Analytics Scientist

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Overview We are seeking a Recruiting Analytics Scientist to join our People Data Solutions team, focusing on recruiting and talent acquisition research. You will 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 Research Design & Scientific Inquiry 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 Talent Analytics & Insights 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 Process Optimization & Operations 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 Assessment & Decision Science Evaluate and improve candidate assessment methodologies Build predictive models and measurement frameworks for talent decisions 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 research field Have 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research 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 Are 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 Experience with causal inference, experimental design, and A/B testing 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 build teams Strong candidates may also have: Background in recruiting analytics specifically (not just general analytics) Experience building self-service analytics tools or dashboards Understanding of candidate lifecycle metrics and recruiting KPIs Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, NLP, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse or similar ATS platforms Salary The expected salary range for this position is $245,000 - $300,000 USD. Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We sponsor visas where possible. If we extend an offer, we will make reasonable efforts to obtain a visa, with support from an immigration lawyer. How to approach applying We encourage you to apply even if you do not meet every single qualification. We value diverse perspectives and encourage candidates from underrepresented groups to apply. We believe AI systems like the ones we’re building have enormous social and ethical implications, making diverse viewpoints especially important. How we’re different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large-scale research efforts and value impact over narrower puzzles. We are collaborative and emphasize communication skills to pursue high-impact work. Come work with us Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaboration-friendly office environment. #J-18808-Ljbffr

Created: 2025-09-21