{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/i-o-psychology"},"x-facet":{"type":"skill","slug":"i-o-psychology","display":"I/O Psychology","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7904f56b-6ce"},"title":"People Research Scientist","description":"<p>We are seeking a People Research Scientist to join our People Data Solutions team. As a People Research Scientist, you will be the research expert supporting our broader People organization, using rigorous scientific methods to advance our understanding of the employee experience, manager effectiveness, organizational health, and workforce dynamics.</p>\n<p>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.</p>\n<p>Responsibilities:</p>\n<p>Research Design &amp; Scientific Inquiry</p>\n<ul>\n<li>Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health</li>\n<li>Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods</li>\n<li>Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives</li>\n<li>Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps</li>\n<li>Navigate research ethics considerations when studying employee data, ensuring responsible research practices</li>\n</ul>\n<p>Employee listening &amp; survey research</p>\n<ul>\n<li>Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys</li>\n<li>Apply psychometric methods to validate survey instruments and ensure measurement reliability</li>\n<li>Translate survey findings into strategic recommendations that drive meaningful organizational change</li>\n</ul>\n<p>Manager research &amp; organizational effectiveness</p>\n<ul>\n<li>Conduct research on manager behaviors, competencies, and their impact on team outcomes</li>\n<li>Build measurement frameworks to evaluate and improve manager effectiveness programs</li>\n<li>Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes</li>\n</ul>\n<p>Visualization &amp; communication</p>\n<ul>\n<li>Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences</li>\n<li>Present research findings to senior leadership with clear, actionable recommendations</li>\n<li>Develop self-service analytics capabilities that empower People team partners</li>\n</ul>\n<p>You may be a good fit if you:</p>\n<ul>\n<li>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</li>\n<li>Have 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise</li>\n<li>Have experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference</li>\n<li>Are comfortable working in the People Analytics tech stack and collaborating with data engineers</li>\n<li>Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning</li>\n<li>Have experience with survey design, psychometric methods, and employee listening programs</li>\n<li>Have experience with data visualization and can tell compelling stories with research findings</li>\n<li>Possess excellent communication skills and can influence stakeholders at all levels</li>\n<li>Thrive in ambiguity and can balance rigor with pragmatism</li>\n<li>Have a track record of challenging assumptions with data and changing long-held practices</li>\n<li>Can navigate sensitive topics diplomatically while maintaining analytical rigor</li>\n<li>Demonstrate intellectual humility and comfort with iterative discovery</li>\n<li>Use data to improve how organizations develop and support their people</li>\n</ul>\n<p>Strong candidates may also have:</p>\n<ul>\n<li>Background in people analytics specifically (not just general analytics)</li>\n<li>Experience designing and analyzing employee engagement or pulse surveys</li>\n<li>Deep knowledge of manager effectiveness research and organizational science</li>\n<li>Experience building self-service analytics tools or dashboards</li>\n<li>Understanding of employee lifecycle metrics and people KPIs</li>\n<li>Previous experience in high-growth technology companies or AI/ML organizations</li>\n<li>Familiarity with network analysis, NLP, or advanced statistical methods</li>\n<li>Experience with BigQuery and modern data stack tools</li>\n<li>Experience with Qualtrics</li>\n<li>Experience with Workday</li>\n</ul>\n<p>The annual compensation range for this role is listed below.</p>\n<p>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.</p>\n<p>Annual Salary: $245,000-$310,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7904f56b-6ce","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5113785008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245,000-$310,000 USD","x-skills-required":["I/O Psychology","Organizational Behavior","Statistics","Data Science","Economics","Behavioral Science","Experimental design","Hypothesis testing","Longitudinal research methods","Causal inference","SQL","Python/R","Statistical analysis","Machine learning","Survey design","Psychometric methods","Employee 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We move fast, think boldly, and empower you to do the best work of your life. You&#39;ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won&#39;t just contribute. You&#39;ll make things happen–fast.</p>\n<p>At ZoomInfo we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. If you are a take-charge, take-initiative, get-stuff-done individual we want to talk to you! We have high aspirations for the company and are looking for the right people to help fulfill the dream. We strive to continually improve every aspect of the company and use cutting-edge technologies and processes to delight our customers and rapidly increase revenues.</p>\n<p>As the Head of People Analytics &amp; Innovation, you will build and lead ZoomInfo&#39;s people analytics function from the ground up. Reporting to the SVP of Organizational Effectiveness, you will own the end-to-end analytics strategy for HR , designing and shipping AI-powered tools, predictive and prescriptive models, dashboards, and research that drive executive decision-making on talent, workforce planning, and employee experience. This is a hands-on, player-coach role: you will set the vision for what we build, write the code to build it, and hire and develop a small, high-impact team (2 ICs) to scale the function. The ideal candidate combines deep technical fluency (Python, statistics, SQL, AI/ML) with the strategic judgment to translate people data into business outcomes and the builder mentality to stand up new capabilities from scratch.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and lead ZoomInfo&#39;s People Analytics &amp; Innovation function, including hiring, developing, and managing two individual contributors</li>\n<li>Define and execute the people analytics strategy and roadmap, translating HR and business priorities into a pipeline of high-impact analytics projects and AI-powered tools</li>\n<li>Design and build custom AI tools, automation, and applications (using Python, MCPs, LLMs, and related technologies) that fundamentally improve how HR operates and makes decisions</li>\n<li>Develop predictive and prescriptive models across workforce planning, attrition/retention, engagement, talent mobility, and employee experience</li>\n<li>Create and maintain executive-ready dashboards, reports, and data visualizations that surface actionable insights for senior leadership</li>\n<li>Own the design, deployment, and analysis of enterprise-wide qualitative instruments (e.g., employee surveys, pulse checks) and synthesize findings into strategic recommendations</li>\n<li>Partner with HR leadership and cross-functional stakeholders to identify high-value analytical questions, scope projects, and deliver data-driven recommendations</li>\n<li>Transform complex analytical findings into clear, compelling narratives and presentations for executive audiences, including the ELT</li>\n<li>Establish scalable data infrastructure, governance frameworks, and measurement processes that enable a self-service analytics culture over time</li>\n<li>Stay current on emerging trends in people analytics, AI/ML, and HR technology , and proactively identify opportunities to apply them at ZoomInfo</li>\n<li>Collaborate with global Compliance, Privacy, Legal, and Risk teams to ensure people analytics initiatives adhere to regulatory requirements, data privacy standards, and internal governance policies</li>\n<li>Partner with enterprise Data Engineering and Infrastructure teams to architect, test, and deploy analytics solutions and AI tools into production environments</li>\n<li>Foster a team culture of experimentation, intellectual curiosity, and bias toward action</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>8+ years of progressive experience in people analytics, workforce analytics, HR data science, or a related quantitative field</li>\n<li>3+ years of experience managing or leading an analytics team, including hiring, coaching, and developing talent</li>\n<li>Demonstrated experience building AI/ML tools, applications, or automation from scratch in a professional setting (not just model training , full product delivery)</li>\n<li>Strong hands-on proficiency in Python and SQL; experience with data manipulation, statistical modeling, and building production-grade scripts and applications</li>\n<li>Experience working with modern AI/ML tools and frameworks (e.g., LLMs, GenAI APIs, MCP architecture, NLP)</li>\n<li>Proven ability to design and execute enterprise survey programs and translate qualitative data into quantitative insights</li>\n<li>Exceptional data storytelling skills , ability to synthesize complex analysis into clear, executive-ready communications</li>\n<li>Experience working with HRIS platforms (e.g., Workday) and analytics/BI tools (e.g., Snowflake, Tableau, Looker, or similar)</li>\n<li>Demonstrated track record of operating as a player-coach: setting strategy while personally delivering technical work</li>\n<li>Bachelor&#39;s degree in a quantitative field (e.g., Data Science, Statistics, I/O Psychology, Economics, Computer Science, or related)</li>\n</ul>\n<p><strong>Preferred</strong></p>\n<ul>\n<li>Master&#39;s or Doctoral degree in a quantitative, business, or social science field (e.g., I/O Psychology, Data Science, Statistics, Organizational Behavior, Economics, Computer Science)</li>\n<li>Experience building a people analytics function or team from scratch</li>\n<li>Familiarity with MCP (Model Context Protocol) architecture and building AI agent workflows</li>\n<li>Experience with Workday RAAS reporting and Snowflake data environments</li>\n<li>Background in building self-service analytics platforms or democratizing data access within an organization</li>\n<li>Experience at a high-growth technology company or a company that has undergone significant organizational transformation</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>The US base salary range for this position is $134,400 - $249,600 + bonus + equity + benefits.</p>\n<p>Actual compensation offered will be based on factors such as the candidate&#39;s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_075db7ac-009","directApply":true,"hiringOrganization":{"@type":"Organization","name":"ZoomInfo","sameAs":"https://www.zoominfo.com/","logo":"https://logos.yubhub.co/zoominfo.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/zoominfo/jobs/8521347002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$134,400 - $249,600","x-skills-required":["python","statistics","sql","ai/ml","people analytics","workforce analytics","hr data science","data manipulation","statistical modeling","production-grade scripts","modern ai/ml tools","frameworks","llms","genai apis","mcp architecture","nlp","enterprise survey programs","qualitative data","quantitative insights","data storytelling","hris platforms","analytics/BI tools","snowflake","tableau","looker"],"x-skills-preferred":["master's or doctoral degree","i/o psychology","data science","organizational behavior","economics","computer science","building ai agent workflows","workday raas reporting","snowflake data environments","self-service analytics platforms","democratizing data access","high-growth technology company","organizational transformation"],"datePosted":"2026-04-24T12:21:12.856Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"python, statistics, sql, ai/ml, people analytics, workforce analytics, hr data science, data manipulation, statistical modeling, production-grade scripts, modern ai/ml tools, frameworks, llms, genai apis, mcp architecture, nlp, enterprise survey programs, qualitative data, quantitative insights, data storytelling, hris platforms, analytics/BI tools, snowflake, tableau, looker, master's or doctoral degree, i/o psychology, data science, organizational behavior, economics, computer science, building ai agent workflows, workday raas reporting, snowflake data environments, self-service analytics platforms, democratizing data access, high-growth technology company, organizational transformation","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":134400,"maxValue":249600,"unitText":"YEAR"}}}]}