People Research Scientist, Recruiting
Anthropic
Make my CV for this job, freeView job and applyYour CV, rewritten for this role using only your real experience. Sign in with Google and upload your CV. Nothing to install.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
155 open recruiting roles across 72 companies are on ApplySarthi right now, most of them in Bengaluru (7), Mumbai (1), Delhi NCR (1).
- (Senior) Recruiting Specialist (m/w/d) remote CHEdl Consulting
- Werkstudent Recruiting & Bewerbermanagement (m/w/d)Strautmann Hydraulik
- Principal Talent Acquisition Manager (Go-to-Market Recruiting)Jobgether
- Senior Manager Recruiting & Employer Branding (m/f/d)Sanoptis
- (SENIOR) Relationship & Recruiting Manager (m/w/d)Synsero
What recruiting roles keep asking for: Talent acquisition (21%), Supply chain (21%), Stakeholder management (14%) — counted across their open postings here.
BigQuery jobs · Machine learning jobs · Python jobs · SQL jobs
Anthropic has 619 open roles listed here.
- Product Finance & Strategy, Monetization
- Commercial Counsel, Hardware
- Finance & Strategy, Deal Desk - APAC
- Finance & Strategy, Deal Strategy
- Marketing Analytics Lead, Enterprise Marketing
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for recruiting roles keep coming back to Talent acquisition, Supply chain, Stakeholder management. Practise those questions before you sit with Anthropic.
Questions you are likely to be asked
- Why do you want to join Anthropic?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through how you fill a hard role, from the brief to the offer.
- Tell me about a difficult conversation you had with an employee.
- How do you judge a candidate beyond their CV?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the People Research Scientist, Recruiting at Anthropic interview free →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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. 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, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
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.
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 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.
Match this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Staff Software Engineer, GTM AI Engineering Anthropic
- Anthropic Fellows Program, AI Safety & SecurityAnthropic
- Anthropic Fellows Program, ML Systems & Reinforcement LearningAnthropic
- Anthropic Fellows Program, The Anthropic Institute (Economics & Policy)Anthropic
- Applied AI ArchitectAnthropic · bengaluru
- Applied AI Architect, PartnershipsAnthropic · bengaluru
- Community Engagement Manager, Data Centers (Texas)Anthropic
- Community Engagement Manager, Data Centres (Australia)Anthropic
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on greenhouse · posted 2026-07-22. ApplySarthi collects openings and links to application pages; the role is advertised by Anthropic, not by us.