People Research Scientist, Recruiting

Anthropic; New York (NY); Hybrid; USD 285.000 - 380.000; Vollzeit

Zusammenfassung

Anthropic Limited is seeking a Recruiting Research Scientist to join our People Data Solutions team. You will apply rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity, translating findings into evidence-based decisions across our organization.

This role sits at the intersection of organizational science and people analytics, offering the opportunity to influence hiring practices at a leading AI

Qualifikationen

• Hold an advanced degree 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 with 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.
• Excellent communication skills and ability to influence stakeholders at all levels.
• Thrive in ambiguity and balance rigor with pragmatism.
• Track record of challenging assumptions with data and changing long-held practices.
• Navigate sensitive topics diplomatically while maintaining analytical rigor.
• Demonstrate intellectual humility and iterative discovery.
• Use data to improve how organizations find, assess, and hire talent.

Aufgaben

• Design and conduct research to answer questions about recruiting funnel health, interview quality, candidate experience, and hiring quality.
• Test sourcing, interview design, and selection decisions using rigorous experimental methods.
• Conduct mixed-method research to understand drivers and blockers in recruiting operations.
• Ensure responsible research practices and ethics in studying candidate data.
• Design and run validation studies to assess interview and tool quality.
• Apply psychometrics to improve interviewer calibration and rating consistency.
• Lead investigations into innovative approaches for candidate assessment.
• Create a metrics framework for recruiting org health and define KPIs and definitions.
• Establish governance for metrics across tools and reporting surfaces.
• Architect analytical solutions translating research into actionable products.
• Quantify adoption and impact of deployed tools for iterative improvement.
• Build visualizations and dashboards to communicate findings to senior leadership.

Kenntnisse

SQL

Python/R

Data visualization

Statistical analysis

Machine learning

Communication skills

Influence stakeholders

Ambiguity tolerance

Data-driven decision making

Ausbildung

Master's or PhD in I/O Psychology / Organizational Behavior / Statistics / Data Science / Economics

Tools

BigQuery

Greenhouse

Gem

ModernLoop

Jobbeschreibung

About Anthropic

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.

About The Role

We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization.

This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company.

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 the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality
• Establish the 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

Minimum Qualifications

• 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
• Are 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
• 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

Preferred Qualifications

• 5 + years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
• Background in recruiting analytics specifically (not just general analytics)
• 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

$285,000—$380,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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 just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

DEI Statement

Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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 lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.