Senior People Science Analyst (AI)

Location: New York or Berlin; hybrid attendance at the local hirify.global office an average of 2 days per week.

Base salary: USD 140,000–160,000.

Company

hirify.global provides an employee experience platform used to improve employee engagement, performance management and team effectiveness through people science and workforce data.

What you will do

• Lead customer discovery and own bespoke research studies from business-question definition through study design, delivery and recommendations.
• Design, clean, combine and explore hirify.global and customer-supplied datasets using reusable approaches that protect participant privacy.
• Conduct statistical analyses across engagement, lifecycle, performance and team-effectiveness data, producing actionable and appropriate predictive insights linked to business outcomes.
• Use AI tools to accelerate research, analysis, synthesis and communication while validating outputs and maintaining methodological rigour.
• Collaborate with People Scientists, HR leaders, Customer Success Managers and Account Managers on advanced analytics projects, reports and presentations.
• Create reusable methods and assets, improve practices, and manage scope, priorities and timelines for complex projects.

Requirements

• Advanced degree in organisational psychology, quantitative social science, economics or a related field, or equivalent applied research experience.
• Applied experience using quantitative research methods on people or workforce data, ideally connecting survey results to business outcomes.
• Strong command of inferential statistics, including regression, multi-level analysis and longitudinal analysis, with judgment about method selection.
• Working proficiency in R and experience cleaning and combining messy datasets from multiple sources.
• Experience owning complex analytical work end to end, from an ambiguous question to a clear recommendation or conclusion.
• Track record of creating and presenting decks for HR and executive audiences.
• Strong practical understanding of AI tools and workflows, including using them to improve quality and efficiency without replacing methodological rigour.
• Experience managing stakeholder expectations around scope, timelines and priorities, including communicating trade-offs and constraints.
• Experience sharing expertise, improving team practice or creating reusable approaches.
• Ability to work independently, ask open questions, translate complex findings for non-statistical audiences, and operate effectively with ambiguity.

Culture & Benefits

• 12-month fixed-term contract within a global People Science Analytics team.
• Average in-office attendance of 2 days per week to support in-person connection and collaboration.
• Equity through the Employee Share Option Program, learning programs and coaching.
• Quarterly refresh days, an extended end-of-year break, monthly wellbeing and lifestyle allowance, and five annual social impact days.
• Inclusive parental leave from day one, MacBook and home-workspace budget.
• Medical insurance for employees and families, available for US and UK employees.

Hiring process

• Apply through the online application process; reasonable accommodation requests can be sent to the accommodations team without including medical or health information.